Torsten Hoefler

641 papers A* 29A 144B 41C 27Misc 9Journal 320Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cost-Effective Empirical Performance Modeling. IEEE Trans. Parallel Distributed Syst. Marcus Ritter, Benedikt Naumann, Alexandru Calotoiu, Sebastian Rinke, Thorsten Reimann, Torsten Hoefler, Felix Wolf
2026	J	`jnl`	Demystifying Higher-Order Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Grzegorz Kwasniewski, Shachar Klaiman, Jürgen Müller, Torsten Hoefler
2026	J	`jnl`	Flowcut Switching: High-Performance Adaptive Routing With In-Order Delivery Guarantees. IEEE Trans. Netw. Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Abdulla Bataineh, David Hewson, Duncan Roweth, Torsten Hoefler
2026	J	`jnl`	GraphSeek: Next-Generation Graph Analytics with LLMs. CoRR Maciej Besta, Lukasz Jarmocik, Orest Hrycyna, Shachar Klaiman, Konrad Maczka, Robert Gerstenberger, Jürgen Müller, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
2026	J	`jnl`	In-Network Collective Operations: Game Changer or Challenge for AI Workloads? Computer Torsten Hoefler, Mikhail Khalilov, Josiah Clark, Surendra Anubolu, Mohan Kalkunte, Karen Schramm, Eric Spada, Duncan Roweth, Keith D. Underwood, Adrian M. Caulfield, Abdul Kabbani, Amirreza Rastegari
2026	J	`jnl`	In-Network Collective Operations: Game Changer or Challenge for AI Workloads? CoRR Torsten Hoefler, Mikhail Khalilov, Josiah Clark, Surendra Anubolu, Mohan Kalkunte, Karen Schramm, Eric Spada, Duncan Roweth, Keith D. Underwood, Adrian M. Caulfield, Abdul Kabbani, Amirreza Rastegari
2026	J	`jnl`	MLIR-Forge: A Modular Framework for Language Smiths. CoRR Berke Ates, Philipp Schaad, Timo Schneider, Alexandru Calotoiu, Torsten Hoefler
2026	J	`jnl`	Network Design for Wafer-Scale Systems with Wafer-on-Wafer Hybrid Bonding. CoRR Patrick Iff, Tommaso Bonato, Maciej Besta, Luca Benini, Torsten Hoefler
2026	A	`conf`	REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation. EuroSys Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini, Michael Papamichael, Mohammad Dohadwala, Lukas Gianinazzi, Mikhail Khalilov, Elias Achermann, Daniele De Sensi, Torsten Hoefler
2026	J	`jnl`	Scaling Laws of Global Weather Models. CoRR Yuejiang Yu, Langwen Huang, Alexandru Calotoiu, Torsten Hoefler
2026	J	`jnl`	Spritz: Path-Aware Load Balancing in Low-Diameter Networks. CoRR Tommaso Bonato, Ales Kubicek, Abdul Kabbani, Ahmad Ghalayini, Maciej Besta, Torsten Hoefler
2026	A	`conf`	Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. EuroSys Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler
2025	A	`conf`	A Priori Loop Nest Normalization: Automatic Loop Scheduling in Complex Applications. CGO Lukas Trümper, Philipp Schaad, Berke Ates, Alexandru Calotoiu, Marcin Copik, Torsten Hoefler
2025	J	`jnl`	AI Factories: It's time to rethink the Cloud-HPC divide. CoRR Pedro García López, Daniel Barcelona Pons, Marcin Copik, Torsten Hoefler, Eduardo Quiñones, Maciej Malawski, Peter Pietzutch, Alberto P. Martí, Thomas Ohlson Timoudas, Aleksander Slominski
2025	A	`conf`	ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage. SC Siyuan Shen, Tommaso Bonato, Zhiyi Hu, Pasquale Jordan, Tiancheng Chen, Torsten Hoefler
2025	J	`jnl`	ATLAHS: An Application-centric Network Simulator Toolchain for AI, HPC, and Distributed Storage. CoRR Siyuan Shen, Tommaso Bonato, Zhiyi Hu, Pasquale Jordan, Tiancheng Chen, Torsten Hoefler
2025	A	`conf`	Ab-initio Quantum Transport with the GW Approximation, 42, 240 Atoms, and Sustained Exascale Performance. SC Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Jiang Cao, Grzegorz Kwasniewski, Leonard Deuschle, Torsten Hoefler, Alexandros Nikolaos Ziogas, Mathieu Luisier
2025	J	`jnl`	Ab-initio Quantum Transport with the GW Approximation, 42,240 Atoms, and Sustained Exascale Performance. CoRR Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka, Jiang Cao, Grzegorz Kwasniewski, Leonard Deuschle, Torsten Hoefler, Alexandros Nikolaos Ziogas, Mathieu Luisier
2025	J	`jnl`	Active Model Selection for Large Language Models. CoRR Yavuz Durmazkeser, Patrik Okanovic, Andreas Kirsch, Torsten Hoefler, Nezihe Merve Gürel
2025	J	`jnl`	Affordable AI Assistants with Knowledge Graph of Thoughts. CoRR Maciej Besta, Lorenzo Paleari, Jia Hao Andrea Jiang, Robert Gerstenberger, You Wu, Patrick Iff, Ales Kubicek, Piotr Nyczyk, Diana Khimey, Jón Gunnar Hannesson, Grzegorz Kwasniewski, Marcin Copik, Hubert Niewiadomski, Torsten Hoefler
2025	A	`conf`	All models are wrong, some are useful: Model Selection with Limited Labels. AISTATS Patrik Okanovic, Andreas Kirsch, Jannes Kasper, Torsten Hoefler, Andreas Krause, Nezihe Merve Gürel
2025	J	`jnl`	Atlas-independent brain connectome analysis at voxel-level granularity: graph convolutional networks for etiology classification in newborns. NeuroImage Anna Speckert, Lukas Gianinazzi, Sepp Kollmorgen, Cornelia F. Hagmann, Patrice Grehten, Raimund Kottke, Giancarlo Natalucci, Beatrice Latal, Walter Knirsch, Ruth Tuura, Torsten Hoefler, András Jakab
2025	J	`jnl`	BLaST: High Performance Inference and Pretraining using BLock Sparse Transformers. CoRR Patrik Okanovic, Sameer Deshmukh, Grzegorz Kwasniewski, Kentaro Katayama, Takumi Honda, Maciej Besta, Torsten Hoefler
2025	J	`jnl`	Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors. CoRR Patrick Iff, Paul Bruegger, Marcin Chrapek, Maciej Besta, Torsten Hoefler
2025	J	`jnl`	Beyond Outliers: A Study of Optimizers Under Quantization. CoRR Georgios Vlassis, Saleh Ashkboos, Alexandra Volkova, Torsten Hoefler, Dan Alistarh
2025	A	`conf`	Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality. SC Daniele De Sensi, Saverio Pasqualoni, Lorenzo Piarulli, Tommaso Bonato, Seydou Ba, Matteo Turisini, Jens Domke, Torsten Hoefler
2025	J	`jnl`	Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality. CoRR Daniele De Sensi, Saverio Pasqualoni, Lorenzo Piarulli, Tommaso Bonato, Seydou Ba, Matteo Turisini, Jens Domke, Torsten Hoefler
2025	J	`jnl`	Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization. CoRR Vage Egiazarian, Roberto L. Castro, Denis Kuznedelev, Andrei Panferov, Eldar Kurtic, Shubhra Pandit, Alexandre Noll Marques, Mark Kurtz, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
2025	A	`conf`	C.A.T.S.: Memory and Control Flow Tracing for Whole-Program Performance Analysis. SC Philipp Schaad, Tal Ben-Nun, Torsten Hoefler
2025	A	`conf`	Computing the Full Earth System at 1km Resolution. SC Daniel Klocke, Claudia Frauen, Jan Frederik Engels, Dmitry Alexeev, René Redler, Reiner Schnur, Helmuth Haak, Luis Kornblueh, Nils Brüggemann, Fatemeh Chegini, Manoel Römmer, Lars Hoffmann, Sabine Griessbach, Mathis Bode, Jonathan Coles, Miguel Gila, William Sawyer, Alexandru Calotoiu, Yakup Budanaz, Pratyai Mazumder, Marcin Copik, Benjamin Weber, Andreas Herten, Hendryk Bockelmann, Torsten Hoefler, Cathy Hohenegger, Bjorn Stevens
2025	—	`conf`	Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs. IISWC Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler
2025	J	`jnl`	Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs. CoRR Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler
2025	A	`conf`	Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. SC Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Raul Castro Fernandez, Torsten Hoefler, Kyle Chard, Ian T. Foster
2025	J	`jnl`	Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. CoRR Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Torsten Hoefler, Raul Castro Fernandez, Kyle Chard, Ian T. Foster
2025	J	`jnl`	Cppless: Single-Source and High-Performance Serverless Programming in C++. ACM Trans. Archit. Code Optim. Marcin Copik, Lukas Möller, Alexandru Calotoiu, Torsten Hoefler
2025	—	`conf`	CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training. USENIX ATC Tiancheng Chen, Ales Kubicek, Langwen Huang, Torsten Hoefler
2025	J	`jnl`	CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training. CoRR Tiancheng Chen, Ales Kubicek, Langwen Huang, Torsten Hoefler
2025	C	`conf`	DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing. CLUSTER Afif Boudaoud, Alexandru Calotoiu, Marcin Copik, Torsten Hoefler
2025	J	`jnl`	DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing. CoRR Afif Boudaoud, Alexandru Calotoiu, Marcin Copik, Torsten Hoefler
2025	J	`jnl`	Demystifying Chains, Trees, and Graphs of Thoughts. IEEE Trans. Pattern Anal. Mach. Intell. Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwasniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Aidan O'Mahony, Onur Mutlu, Torsten Hoefler
2025	Misc	`conf`	Demystifying NCCL: An In-Depth Analysis of GPU Communication Protocols and Algorithms. HOTI Zhiyi Hu, Siyuan Shen, Tommaso Bonato, Sylvain Jeaugey, Cedell Alexander, Eric Spada, James Dinan, Jeff R. Hammond, Torsten Hoefler
2025	J	`jnl`	Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms. CoRR Zhiyi Hu, Siyuan Shen, Tommaso Bonato, Sylvain Jeaugey, Cedell Alexander, Eric Spada, James Dinan, Jeff R. Hammond, Torsten Hoefler
2025	J	`jnl`	Denoising Application Performance Models with Noise-Resilient Priors. CoRR Gustavo de Morais, Alexander Geiß, Alexandru Calotoiu, Gregor Corbin, Ahmad Tarraf, Torsten Hoefler, Bernd Mohr, Felix Wolf
2025	J	`jnl`	Design in Tiles: Automating GEMM Deployment on Tile-Based Many-PE Accelerators. CoRR Aofeng Shen, Chi Zhang, Yakup Budanaz, Alexandru Calotoiu, Torsten Hoefler, Luca Benini
2025	A	`conf`	EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC. ICS Siyuan Shen, Mikhail Khalilov, Lukas Gianinazzi, Timo Schneider, Marcin Chrapek, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler
2025	J	`jnl`	EDAN: Towards Understanding Memory Parallelism and Latency Sensitivity in HPC. CoRR Siyuan Shen, Mikhail Khalilov, Lukas Gianinazzi, Timo Schneider, Marcin Chrapek, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler
2025	A	`conf`	Energy-Optimal and Low-Depth Algorithmic Primitives for Spatial Dataflow Architectures. IPDPS Lukas Gianinazzi, Tal Ben-Nun, Maciej Besta, Saleh Ashkboos, Yves Baumann, Piotr Luczynski, Torsten Hoefler
2025	J	`jnl`	Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge. CoRR Drago Plecko, Patrik Okanovic, Torsten Hoefler, Elias Bareinboim
2025	J	`jnl`	Error bounded compression for weather and climate applications. CoRR Langwen Huang, Luigi Fusco, Florian Scheidl, Jan Zibell, Michael Armand Sprenger, Sebastian Schemm, Torsten Hoefler
2025	—	`conf`	Evolving HPC services to enable ML workloads on HPE Cray EX. CUG Stefano Schuppli, Fawzi Mohamed, Henrique Mendonça, Nina Mujkanovic, Elia Palme, Dino Conciatore, Lukas Drescher, Miguel Gila, Pim Witlox, Joost VandeVondele, Maxime Martinasso, Thomas C. Schulthess, Torsten Hoefler
2025	J	`jnl`	Evolving HPC services to enable ML workloads on HPE Cray EX. CoRR Stefano Schuppli, Fawzi Mohamed, Henrique Mendonça, Nina Mujkanovic, Elia Palme, Dino Conciatore, Lukas Drescher, Miguel Gila, Pim Witlox, Joost VandeVondele, Maxime Martinasso, Thomas C. Schulthess, Torsten Hoefler
2025	Misc	`conf`	FPsPIN: An FPGA-Based Open-Hardware Research Platform for Processing in the Network. HOTI Timo Schneider, Pengcheng Xu, Torsten Hoefler
2025	J	`jnl`	Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal. Proc. VLDB Endow. Wenqi Jiang, Hang Hu, Torsten Hoefler, Gustavo Alonso
2025	J	`jnl`	Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes. CoRR Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm
2025	J	`jnl`	Flowcut Switching: High-Performance Adaptive Routing with In-Order Delivery Guarantees. CoRR Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Abdulla Bataineh, David Hewson, Duncan Roweth, Torsten Hoefler
2025	J	`jnl`	FoldedHexaTorus: An Inter-Chiplet Interconnect Topology for Chiplet-based Systems using Organic and Glass Substrates. CoRR Patrick Iff, Maciej Besta, Torsten Hoefler
2025	J	`jnl`	HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs. CoRR Saleh Ashkboos, Mahdi Nikdan, Soroush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh
2025	J	`jnl`	Higher-Order Graph Databases. CoRR Maciej Besta, Shriram Chandran, Jakub Cudak, Patrick Iff, Marcin Copik, Robert Gerstenberger, Tomasz Szydlo, Jürgen Müller, Torsten Hoefler
2025	J	`jnl`	Inductive Loop Analysis for Practical HPC Application Optimization. CoRR Philipp Schaad, Tal Ben-Nun, Patrick Iff, Torsten Hoefler
2025	J	`jnl`	Iterating Pointers: Enabling Static Analysis for Loop-based Pointers. CoRR Andrea Lepori, Alexandru Calotoiu, Torsten Hoefler
2025	J	`jnl`	Iterating Pointers: Enabling Static Analysis for Loop-based Pointers. ACM Trans. Archit. Code Optim. Andrea Lepori, Alexandru Calotoiu, Torsten Hoefler
2025	J	`jnl`	Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications. IEEE Trans. Parallel Distributed Syst. Yuyang Jin, Haojie Wang, Xiongchao Tang, Zhenhua Guo, Yaqian Zhao, Torsten Hoefler, Tao Liu, Xu Liu, Jidong Zhai
2025	B	`conf`	MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. PPoPP Elias Frantar, Roberto L. Castro, Jiale Chen, Torsten Hoefler, Dan Alistarh
2025	A	`conf`	PerfDojo: Automated ML Library Generation for Heterogeneous Architectures. SC Andrei Ivanov, Siyuan Shen, Gioele Gottardo, Marcin Chrapek, Afif Boudaoud, Timo Schneider, Luca Benini, Torsten Hoefler
2025	J	`jnl`	PerfDojo: Automated ML Library Generation for Heterogeneous Architectures. CoRR Andrei Ivanov, Siyuan Shen, Gioele Gottardo, Marcin Chrapek, Afif Boudaoud, Timo Schneider, Luca Benini, Torsten Hoefler
2025	J	`jnl`	PlaceIT: Placement-based Inter-Chiplet Interconnect Topologies. CoRR Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler
2025	J	`jnl`	Practical Challenges in Executing Shor's Algorithm on Existing Quantum Platforms. CoRR Paul Bagourd, Julian Jang-Jaccard, Vincent Lenders, Alain Mermoud, Torsten Hoefler, Cornelius Hempel
2025	J	`jnl`	Productivity, Portability, Performance, and Reproducibility: Data-Centric Python. IEEE Trans. Parallel Distributed Syst. Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
2025	J	`jnl`	Psychologically Enhanced AI Agents. CoRR Maciej Besta, Shriram Chandran, Robert Gerstenberger, Mathis Lindner, Marcin Chrapek, Sebastian Hermann Martschat, Taraneh Ghandi, Patrick Iff, Hubert Niewiadomski, Piotr Nyczyk, Jürgen Müller, Torsten Hoefler
2025	J	`jnl`	RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems. CoRR Yinxiao Feng, Tiancheng Chen, Yuchen Wei, Siyuan Shen, Shiju Wang, Wei Li, Kaisheng Ma, Torsten Hoefler
2025	—	`conf`	RapidChiplet: A Toolchain for Rapid Design Space Exploration of Inter-Chiplet Interconnects. CF Patrick Iff, Benigna Bruggmann, Blaise Morel, Maciej Besta, Luca Benini, Torsten Hoefler
2025	J	`jnl`	Reasoning Language Models: A Blueprint. CoRR Maciej Besta, Julia Barth, Eric Schreiber, Ales Kubicek, Afonso Claudino Catarino, Robert Gerstenberger, Piotr Nyczyk, Patrick Iff, Yueling Li, Sam Houliston, Tomasz Sternal, Marcin Copik, Grzegorz Kwasniewski, Jürgen Müller, Lukasz Flis, Hannes Eberhard, Hubert Niewiadomski, Torsten Hoefler
2025	A	`conf`	SDR-RDMA: Software-Defined Reliability Architecture for Planetary Scale RDMA Communication. SC Mikhail Khalilov, Siyuan Shen, Marcin Chrapek, Tiancheng Chen, Kenji Nakano, Nicola Mazzoletti, Peter-Jan Gootzen, Salvatore Di Girolamo, Rami Nudelman, Gil Bloch, Jithin Jose, Abdul Kabbani, Sreevatsa Anantharamu, Jie Zhang, Konstantin Taranov, Zhuolong Yu, Scott Moe, Mahmoud Elhaddad, Torsten Hoefler
2025	J	`jnl`	SDR-RDMA: Software-Defined Reliability Architecture for Planetary Scale RDMA Communication. CoRR Mikhail Khalilov, Siyuan Shen, Marcin Chrapek, Tiancheng Chen, Kenji Nakano, Peter-Jan Gootzen, Salvatore Di Girolamo, Rami Nudelman, Gil Bloch, Sreevatsa Anantharamu, Mahmoud Elhaddad, Jithin Jose, Abdul Kabbani, Scott Moe, Konstantin Taranov, Zhuolong Yu, Jie Zhang, Nicola Mazzoletti, Torsten Hoefler
2025	J	`jnl`	SPADA: A Spatial Dataflow Architecture Programming Language. CoRR Lukas Gianinazzi, Tal Ben-Nun, Torsten Hoefler
2025	—	`conf`	SeBS 2.0: Keeping up with the Clouds. SESAME@EuroSys Marcin Copik, Alexandru Calotoiu, Torsten Hoefler
2025	A	`conf`	SeBS-Flow: Benchmarking Serverless Cloud Function Workflows. EuroSys Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner, Anne Koziolek, Torsten Hoefler
2025	J	`jnl`	The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm. CoRR Jiale Chen, Torsten Hoefler, Dan Alistarh
2025	J	`jnl`	Ultra Ethernet's Design Principles and Architectural Innovations. CoRR Torsten Hoefler, Karen Schramm, Eric Spada, Keith D. Underwood, Cedell Alexander, Bob Alverson, Paul Bottorff, Adrian M. Caulfield, Mark Handley, Cathy Huang, Costin Raiciu, Abdul Kabbani, Eugene Opsasnick, Rong Pan, Adee Ran, Rip Sohan
2025	A	`conf`	Uno: A One-Stop Solution for Inter- and Intra-Data Center Congestion Control and Reliable Connectivity. SC Tommaso Bonato, Sepehr Abdous, Abdul Kabbani, Ahmad Ghalayini, Nadeen Gebara, Terry Lam, Anup Agarwal, Tiancheng Chen, Zhuolong Yu, Konstantin Taranov, Mahmoud Elhaddad, Daniele De Sensi, Soudeh Ghorbani, Torsten Hoefler
2025	J	`jnl`	Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity. CoRR Tommaso Bonato, Sepehr Abdous, Abdul Kabbani, Ahmad Ghalayini, Nadeen Gebara, Terry Lam, Anup Agarwal, Tiancheng Chen, Zhuolong Yu, Konstantin Taranov, Mahmoud Elhaddad, Daniele De Sensi, Soudeh Ghorbani, Torsten Hoefler
2025	J	`jnl`	VEIL: Reading Control Flow Graphs Like Code. CoRR Philipp Schaad, Tal Ben-Nun, Torsten Hoefler
2025	J	`jnl`	WUSH: Near-Optimal Adaptive Transforms for LLM Quantization. CoRR Jiale Chen, Vage Egiazarian, Torsten Hoefler, Dan Alistarh
2025	A	`conf`	XaaS Containers: Performance-Portable Representation With Source and IR Containers. SC Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valérie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian T. Foster, Torsten Hoefler
2025	J	`jnl`	XaaS Containers: Performance-Portable Representation With Source and IR Containers. CoRR Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valérie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian T. Foster, Torsten Hoefler
2025	J	`jnl`	Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. CoRR Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler
2025	J	`jnl`	sNVMe-oF: Secure and Efficient Disaggregated Storage. CoRR Marcin Chrapek, Meni Orenbach, Ahmad Atamli, Marcin Copik, Fritz Alder, Torsten Hoefler
2024	Misc	`conf`	A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. NSDI Nils Blach, Maciej Besta, Daniele De Sensi, Jens Domke, Hussein Harake, Shigang Li, Patrick Iff, Marek Konieczny, Kartik Lakhotia, Ales Kubicek, Marcel Ferrari, Fabrizio Petrini, Torsten Hoefler
2024	J	`jnl`	A High-Performance, Energy-Efficient Modular DMA Engine Architecture. IEEE Trans. Computers Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel, Alessandro Ottaviano, Andreas Kurth, Torsten Hoefler, Luca Benini
2024	J	`jnl`	A Priori Loop Nest Normalization: Automatic Loop Scheduling in Complex Applications. CoRR Lukas Trümper, Philipp Schaad, Berke Ates, Alexandru Calotoiu, Marcin Copik, Torsten Hoefler
2024	J	`jnl`	Accelerating Graph-based Vector Search via Delayed-Synchronization Traversal. CoRR Wenqi Jiang, Hang Hu, Torsten Hoefler, Gustavo Alonso
2024	J	`jnl`	All models are wrong, some are useful: Model Selection with Limited Labels. CoRR Patrik Okanovic, Andreas Kirsch, Jannes Kasper, Torsten Hoefler, Andreas Krause, Nezihe Merve Gürel
2024	B	`conf`	Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. PPoPP Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboosh, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler
2024	J	`jnl`	Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. CoRR Lukas Gianinazzi, Alexandros Nikolaos Ziogas, Langwen Huang, Piotr Luczynski, Saleh Ashkboos, Florian Scheidl, Armon Carigiet, Chio Ge, Nabil Abubaker, Maciej Besta, Tal Ben-Nun, Torsten Hoefler
2024	J	`jnl`	AutoDDL: Automatic Distributed Deep Learning With Near-Optimal Bandwidth Cost. IEEE Trans. Parallel Distributed Syst. Jinfan Chen, Shigang Li, Ran Guo, Jinhui Yuan, Torsten Hoefler
2024	J	`jnl`	Canary: Congestion-aware in-network allreduce using dynamic trees. Future Gener. Comput. Syst. Daniele De Sensi, Edgar Costa Molero, Salvatore Di Girolamo, Laurent Vanbever, Torsten Hoefler
2024	J	`jnl`	Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models. Proc. VLDB Endow. Wenqi Jiang, Marco Zeller, Roger Waleffe, Torsten Hoefler, Gustavo Alonso
2024	J	`jnl`	CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks. CoRR Maciej Besta, Lorenzo Paleari, Ales Kubicek, Piotr Nyczyk, Robert Gerstenberger, Patrick Iff, Tomasz Lehmann, Hubert Niewiadomski, Torsten Hoefler
2024	J	`jnl`	Cppless: Productive and Performant Serverless Programming in C++. CoRR Lukas Möller, Marcin Copik, Alexandru Calotoiu, Torsten Hoefler
2024	J	`jnl`	Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. ACM Comput. Surv. Maciej Besta, Robert Gerstenberger, Emanuel Peter, Marc Fischer, Michal Podstawski, Claude Barthels, Gustavo Alonso, Torsten Hoefler
2024	J	`jnl`	Demystifying Higher-Order Graph Neural Networks. CoRR Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Shachar Klaiman, Jürgen Müller, Torsten Hoefler
2024	A*	`conf`	DiffDA: a Diffusion model for weather-scale Data Assimilation. ICML Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler
2024	J	`jnl`	DiffDA: a diffusion model for weather-scale data assimilation. CoRR Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler
2024	J	`jnl`	Digital twins of Earth and the computing challenge of human interaction. Nat. Comput. Sci. Peter Bauer, Torsten Hoefler, Bjorn Stevens, Wilco Hazeleger
2024	J	`jnl`	EfQAT: An Efficient Framework for Quantization-Aware Training. CoRR Saleh Ashkboos, Bram Verhoef, Torsten Hoefler, Evangelos Eleftheriou, Martino Dazzi
2024	A	`conf`	Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. SC Daniele De Sensi, Lorenzo Pichetti, Flavio Vella, Tiziano De Matteis, Zebin Ren, Luigi Fusco, Matteo Turisini, Daniele Cesarini, Kurt Lust, Animesh Trivedi, Duncan Roweth, Filippo Spiga, Salvatore Di Girolamo, Torsten Hoefler
2024	J	`jnl`	Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects. CoRR Daniele De Sensi, Lorenzo Pichetti, Flavio Vella, Tiziano De Matteis, Zebin Ren, Luigi Fusco, Matteo Turisini, Daniele Cesarini, Kurt Lust, Animesh Trivedi, Duncan Roweth, Filippo Spiga, Salvatore Di Girolamo, Torsten Hoefler
2024	C	`conf`	Extending RISC-V for Efficient Overflow Recovery in Mixed-Precision Computations. ICCD Luca Bertaccini, Siyuan Shen, Torsten Hoefler, Luca Benini
2024	J	`jnl`	FPsPIN: An FPGA-based Open-Hardware Research Platform for Processing in the Network. CoRR Timo Schneider, Pengcheng Xu, Torsten Hoefler
2024	A	`conf`	FaaSKeeper: Learning from Building Serverless Services with ZooKeeper as an Example. HPDC Marcin Copik, Alexandru Calotoiu, Pengyu Zhou, Konstantin Taranov, Torsten Hoefler
2024	J	`jnl`	Fortify Your Foundations: Practical Privacy and Security for Foundation Model Deployments In The Cloud. CoRR Marcin Chrapek, Anjo Vahldiek-Oberwagner, Marcin Spoczynski, Scott Constable, Mona Vij, Torsten Hoefler
2024	A*	`conf`	Graph of Thoughts: Solving Elaborate Problems with Large Language Models. AAAI Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
2024	J	`jnl`	HammingMesh: A Network Topology for Large-Scale Deep Learning. Commun. ACM Torsten Hoefler, Tommaso Bonoto, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Deepak Goel, Miguel Castro, Steve Scott
2024	J	`jnl`	Hardware Acceleration for Knowledge Graph Processing: Challenges & Recent Developments. CoRR Maciej Besta, Robert Gerstenberger, Patrick Iff, Pournima Sonawane, Juan Gómez-Luna, Raghavendra Kanakagiri, Rui Min, Onur Mutlu, Torsten Hoefler, Raja Appuswamy, Aidan O'Mahony
2024	A	`conf`	High Performance Unstructured SpMM Computation Using Tensor Cores. SC Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler
2024	J	`jnl`	High Performance Unstructured SpMM Computation Using Tensor Cores. CoRR Patrik Okanovic, Grzegorz Kwasniewski, Paolo Sylos Labini, Maciej Besta, Flavio Vella, Torsten Hoefler
2024	—	`conf`	How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry" Benchmark. CPAL Eldar Kurtic, Torsten Hoefler, Dan Alistarh
2024	A	`conf`	LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming. SC Siyuan Shen, Langwen Huang, Marcin Chrapek, Timo Schneider, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler
2024	J	`jnl`	LLAMP: Assessing Network Latency Tolerance of HPC Applications with Linear Programming. CoRR Siyuan Shen, Langwen Huang, Marcin Chrapek, Timo Schneider, Jai Dayal, Manisha Gajbe, Robert W. Wisniewski, Torsten Hoefler
2024	A	`conf`	LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems Through Polling-Free and Retry-Free Operation. DATE Samuel Riedel, Marc Gantenbein, Alessandro Ottaviano, Torsten Hoefler, Luca Benini
2024	J	`jnl`	LRSCwait: Enabling Scalable and Efficient Synchronization in Manycore Systems through Polling-Free and Retry-Free Operation. CoRR Samuel Riedel, Marc Gantenbein, Alessandro Ottaviano, Torsten Hoefler, Luca Benini
2024	A	`conf`	Low-Depth Spatial Tree Algorithms. IPDPS Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
2024	J	`jnl`	Low-Depth Spatial Tree Algorithms. CoRR Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi, Torsten Hoefler, Piotr Luczynski
2024	J	`jnl`	MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. CoRR Elias Frantar, Roberto L. Castro, Jiale Chen, Torsten Hoefler, Dan Alistarh
2024	J	`jnl`	Multi-Head RAG: Solving Multi-Aspect Problems with LLMs. CoRR Maciej Besta, Ales Kubicek, Roman Niggli, Robert Gerstenberger, Lucas Weitzendorf, Mingyuan Chi, Patrick Iff, Joanna Gajda, Piotr Nyczyk, Jürgen Müller, Hubert Niewiadomski, Marcin Chrapek, Michal Podstawski, Torsten Hoefler
2024	A	`conf`	Near-Optimal Wafer-Scale Reduce. HPDC Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
2024	J	`jnl`	Near-Optimal Wafer-Scale Reduce. CoRR Piotr Luczynski, Lukas Gianinazzi, Patrick Iff, Leighton Wilson, Daniele De Sensi, Torsten Hoefler
2024	A	`conf`	Network-Offloaded Bandwidth-Optimal Broadcast and Allgather for Distributed AI. SC Mikhail Khalilov, Salvatore Di Girolamo, Marcin Chrapek, Rami Nudelman, Gil Bloch, Torsten Hoefler
2024	J	`jnl`	Network-Offloaded Bandwidth-Optimal Broadcast and Allgather for Distributed AI. CoRR Mikhail Khalilov, Salvatore Di Girolamo, Marcin Chrapek, Rami Nudelman, Gil Bloch, Torsten Hoefler
2024	—	`conf`	OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs. USENIX ATC Mikhail Khalilov, Marcin Chrapek, Siyuan Shen, Alessandro Vezzu, Thomas Benz, Salvatore Di Girolamo, Timo Schneider, Daniele De Sensi, Luca Benini, Torsten Hoefler
2024	—	`conf`	Offloaded MPI message matching: an optimistic approach. SC Workshops Jerónimo S. García, Salvatore Di Girolamo, Sokol Kosta, J. J. Vegas Olmos, Rami Nudelman, Torsten Hoefler, Gil Bloch
2024	J	`jnl`	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Maciej Besta, Torsten Hoefler
2024	B	`conf`	PolarStar: Expanding the Horizon of Diameter-3 Networks. SPAA Kartik Lakhotia, Laura Monroe, Kelly Isham, Maciej Besta, Nils Blach, Torsten Hoefler, Fabrizio Petrini
2024	—	`conf`	Process-as-a-Service: Unifying Elastic and Stateful Clouds with Serverless Processes. SoCC Marcin Copik, Alexandru Calotoiu, Gyorgy Réthy, Roman Böhringer, Rodrigo Bruno, Torsten Hoefler
2024	A*	`conf`	QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models. EMNLP Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh
2024	A*	`conf`	QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs. NeurIPS Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman
2024	J	`jnl`	QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs. CoRR Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman
2024	J	`jnl`	RED-SEA Project: Towards a new-generation European interconnect. Microprocess. Microsystems María Engracia Gómez, Julio Sahuquillo, Andrea Biagioni, Nikos Chrysos, Damien Berton, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Carlotta Chiarini, Chiara De Luca, Fabrizio Capuani, Adrián Castelló, Jose Duro, Eugenio Stabile, Enrique S. Quintana-Ortí, Pascale Bernier-Bruna, Claire Chen, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Manolis Katevenis, Sokratis Bartzis, Orestis Mousouros, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Miguel Sánchez de la Rosa, Gabriel Gomez-Lopez, Francisco Alfaro-Cortés, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz
2024	J	`jnl`	REPS: Recycling Entropies for Packet Spraying to Adaptively Explore Paths and Mitigate Failures. CoRR Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini, Mohammad Dohadwala, Michael Papamichael, Daniele De Sensi, Torsten Hoefler
2024	J	`jnl`	SMaRTT-REPS: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport with Recycled Entropies. CoRR Tommaso Bonato, Abdul Kabbani, Daniele De Sensi, Rong Pan, Yanfang Le, Costin Raiciu, Mark Handley, Timo Schneider, Nils Blach, Ahmad Ghalayini, Daniel S. F. Alves, Michael Papamichael, Adrian M. Caulfield, Torsten Hoefler
2024	J	`jnl`	SeBS-Flow: Benchmarking Serverless Cloud Function Workflows. CoRR Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner, Anne Koziolek, Torsten Hoefler
2024	A*	`conf`	SliceGPT: Compress Large Language Models by Deleting Rows and Columns. ICLR Saleh Ashkboos, Maximilian L. Croci, Marcelo Gennari Do Nascimento, Torsten Hoefler, James Hensman
2024	J	`jnl`	SliceGPT: Compress Large Language Models by Deleting Rows and Columns. CoRR Saleh Ashkboos, Maximilian L. Croci, Marcelo Gennari Do Nascimento, Torsten Hoefler, James Hensman
2024	A	`conf`	Software Resource Disaggregation for HPC with Serverless Computing. IPDPS Marcin Copik, Marcin Chrapek, Larissa Schmid, Alexandru Calotoiu, Torsten Hoefler
2024	J	`jnl`	Software Resource Disaggregation for HPC with Serverless Computing. CoRR Marcin Copik, Marcin Chrapek, Larissa Schmid, Alexandru Calotoiu, Torsten Hoefler
2024	J	`jnl`	SpComm3D: A Framework for Enabling Sparse Communication in 3D Sparse Kernels. CoRR Nabil Abubaker, Torsten Hoefler
2024	A*	`conf`	SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. ICLR Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
2024	Misc	`conf`	Swing: Short-cutting Rings for Higher Bandwidth Allreduce. NSDI Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler
2024	J	`jnl`	Swing: Short-cutting Rings for Higher Bandwidth Allreduce. CoRR Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler
2024	J	`jnl`	Topologies of Reasoning: Demystifying Chains, Trees, and Graphs of Thoughts. CoRR Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Nils Blach, Piotr Nyczyk, Marcin Copik, Grzegorz Kwasniewski, Jürgen Müller, Lukas Gianinazzi, Ales Kubicek, Hubert Niewiadomski, Onur Mutlu, Torsten Hoefler
2024	J	`jnl`	Towards Specialized Supercomputers for Climate Sciences: Computational Requirements of the Icosahedral Nonhydrostatic Weather and Climate Model. CoRR Torsten Hoefler, Alexandru Calotoiu, Anurag Dipankar, Thomas C. Schulthess, Xavier Lapillonne, Oliver Fuhrer
2024	J	`jnl`	Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip. CoRR Luigi Fusco, Mikhail Khalilov, Marcin Chrapek, Giridhar Chukkapalli, Thomas C. Schulthess, Torsten Hoefler
2024	J	`jnl`	XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. CoRR Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra
2024	J	`jnl`	XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. Comput. Sci. Eng. Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra
2023	J	`jnl`	A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network. CoRR Nils Blach, Maciej Besta, Daniele De Sensi, Jens Domke, Hussein Harake, Shigang Li, Patrick Iff, Marek Konieczny, Kartik Lakhotia, Ales Kubicek, Marcel Ferrari, Fabrizio Petrini, Torsten Hoefler
2023	J	`jnl`	A High-performance, Energy-efficient Modular DMA Engine Architecture. CoRR Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel, Alessandro Ottaviano, Andreas Kurth, Torsten Hoefler, Luca Benini
2023	Misc	`conf`	A Reference Implementation for a Quantum Message Passing Interface. QCE Tommy Nguyen, Yue Shi, Samuel A. Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li
2023	—	`conf`	A Reference Implementation for a Quantum Message Passing Interface. SC Workshops Yue Shi, Tommy Nguyen, Samuel A. Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li
2023	J	`jnl`	A Theory of I/O-Efficient Sparse Neural Network Inference. CoRR Niels Gleinig, Tal Ben-Nun, Torsten Hoefler
2023	J	`jnl`	ASDL: A Unified Interface for Gradient Preconditioning in PyTorch. CoRR Kazuki Osawa, Satoki Ishikawa, Rio Yokota, Shigang Li, Torsten Hoefler
2023	J	`jnl`	Approximate Reversible Circuits for NISQ-Era Quantum Computers. CoRR Niels Gleinig, Tobias Rohner, Torsten Hoefler
2023	J	`jnl`	AutoDDL: Automatic Distributed Deep Learning with Asymptotically Optimal Communication. CoRR Jinfan Chen, Shigang Li, Ran Guo, Jinhui Yuan, Torsten Hoefler
2023	A	`conf`	Bridging Control-Centric and Data-Centric Optimization. CGO Tal Ben-Nun, Berke Ates, Alexandru Calotoiu, Torsten Hoefler
2023	J	`jnl`	Bridging Control-Centric and Data-Centric Optimization. CoRR Tal Ben-Nun, Berke Ates, Alexandru Calotoiu, Torsten Hoefler
2023	J	`jnl`	Cached Operator Reordering: A Unified View for Fast GNN Training. CoRR Julia Bazinska, Andrei Ivanov, Tal Ben-Nun, Nikoli Dryden, Maciej Besta, Siyuan Shen, Torsten Hoefler
2023	J	`jnl`	Canary: Congestion-Aware In-Network Allreduce Using Dynamic Trees. CoRR Daniele De Sensi, Edgar Costa Molero, Salvatore Di Girolamo, Laurent Vanbever, Torsten Hoefler
2023	J	`jnl`	Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models. CoRR Wenqi Jiang, Marco Zeller, Roger Waleffe, Torsten Hoefler, Gustavo Alonso
2023	A	`conf`	Co-design Hardware and Algorithm for Vector Search. SC Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
2023	J	`jnl`	Co-design Hardware and Algorithm for Vector Search. CoRR Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
2023	A*	`conf`	Compressing multidimensional weather and climate data into neural networks. ICLR Langwen Huang, Torsten Hoefler
2023	J	`jnl`	Data Center Ethernet and Remote Direct Memory Access: Issues at Hyperscale. Computer Torsten Hoefler, Duncan Roweth, Keith D. Underwood, Robert Alverson, Mark Griswold, Vahid Tabatabaee, Mohan Kalkunte, Surendra Anubolu, Siyuan Shen, Moray McLaren, Abdul Kabbani, Steve Scott
2023	J	`jnl`	Datacenter Ethernet and RDMA: Issues at Hyperscale. CoRR Torsten Hoefler, Duncan Roweth, Keith D. Underwood, Bob Alverson, Mark Griswold, Vahid Tabatabaee, Mohan Kalkunte, Surendra Anubolu, Siyuan Shen, Abdul Kabbani, Moray McLaren, Steve Scott
2023	A*	`conf`	Differentiable Transportation Pruning. ICCV Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
2023	J	`jnl`	Differentiable Transportation Pruning. CoRR Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef
2023	J	`jnl`	Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage. Commun. ACM Torsten Hoefler, Thomas Häner, Matthias Troyer
2023	J	`jnl`	Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage. CoRR Torsten Hoefler, Thomas Häner, Matthias Troyer
2023	J	`jnl`	Earth Virtualization Engines - A Technical Perspective. CoRR Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas C. Schulthess, Thomas F. Stocker, John A. Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph M. Schär, Oliver Fuhrer, Bryan N. Lawrence
2023	J	`jnl`	Earth Virtualization Engines: A Technical Perspective. Comput. Sci. Eng. Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas C. Schulthess, Thomas F. Stocker, John A. Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph M. Schär, Oliver Fuhrer, Bryan N. Lawrence
2023	A	`conf`	FMI: Fast and Cheap Message Passing for Serverless Functions. ICS Marcin Copik, Roman Böhringer, Alexandru Calotoiu, Torsten Hoefler
2023	J	`jnl`	FMI: Fast and Cheap Message Passing for Serverless Functions. CoRR Marcin Copik, Roman Böhringer, Alexandru Calotoiu, Torsten Hoefler
2023	A	`conf`	FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. SC Philipp Schaad, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Alexandros Nikolaos Ziogas, Torsten Hoefler
2023	J	`jnl`	FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. CoRR Philipp Schaad, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Alexandros Nikolaos Ziogas, Torsten Hoefler
2023	J	`jnl`	Graph of Thoughts: Solving Elaborate Problems with Large Language Models. CoRR Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Michal Podstawski, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler
2023	A	`conf`	HEAR: Homomorphically Encrypted Allreduce. SC Marcin Chrapek, Mikhail Khalilov, Torsten Hoefler
2023	—	`conf`	HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers. LoG Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
2023	J	`jnl`	HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers. CoRR Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler
2023	A*	`conf`	HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. DAC Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler
2023	J	`jnl`	High-Performance Graph Databases That Are Portable, Programmable, and Scale to Hundreds of Thousands of Cores. CoRR Maciej Besta, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Jürgen Müller, Nils Blach, Berke Egeli, George Mitenkov, Wojciech Chlapek, Marek T. Michalewicz, Torsten Hoefler
2023	A	`conf`	High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. SC Maciej Besta, Pawel Renc, Robert Gerstenberger, Paolo Sylos Labini, Alexandros Nikolaos Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, Patrick Iff, Grzegorz Kwasniewski, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler
2023	J	`jnl`	How to Prune Your Language Model: Recovering Accuracy on the "Sparsity May Cry" Benchmark. CoRR Eldar Kurtic, Torsten Hoefler, Dan Alistarh
2023	B	`conf`	In-network Allreduce with Multiple Spanning Trees on PolarFly. SPAA Kartik Lakhotia, Kelly Isham, Laura Monroe, Maciej Besta, Torsten Hoefler, Fabrizio Petrini
2023	C	`conf`	Maximum Flows in Parametric Graph Templates. CIAC Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
2023	J	`jnl`	Maximum Flows in Parametric Graph Templates. CoRR Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
2023	J	`jnl`	Myths and Legends in High-Performance Computing. CoRR Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
2023	J	`jnl`	Myths and legends in high-performance computing. Int. J. High Perform. Comput. Appl. Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler
2023	—	`conf`	Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. SIGMETRICS (Abstracts) Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler
2023	A*	`conf`	OPTQ: Accurate Quantization for Generative Pre-trained Transformers. ICLR Elias Frantar, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
2023	J	`jnl`	OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs. CoRR Mikhail Khalilov, Marcin Chrapek, Siyuan Shen, Alessandro Vezzu, Thomas Benz, Salvatore Di Girolamo, Timo Schneider, Daniele De Sensi, Luca Benini, Torsten Hoefler
2023	A	`conf`	Performance Embeddings: A Similarity-Based Transfer Tuning Approach to Performance Optimization. ICS Lukas Trümper, Tal Ben-Nun, Philipp Schaad, Alexandru Calotoiu, Torsten Hoefler
2023	J	`jnl`	Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization. CoRR Lukas Trümper, Tal Ben-Nun, Philipp Schaad, Alexandru Calotoiu, Torsten Hoefler
2023	—	`conf`	PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices. MLSys Kazuki Osawa, Shigang Li, Torsten Hoefler
2023	J	`jnl`	PolarStar: Expanding the Scalability Horizon of Diameter-3 Networks. CoRR Kartik Lakhotia, Laura Monroe, Kelly Isham, Maciej Besta, Nils Blach, Torsten Hoefler, Fabrizio Petrini
2023	J	`jnl`	Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems. IEEE Trans. Parallel Distributed Syst. Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler
2023	J	`jnl`	RapidChiplet: A Toolchain for Rapid Design Space Exploration of Chiplet Architectures. CoRR Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler
2023	—	`conf`	SAGE: Software-based Attestation for GPU Execution. USENIX ATC Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
2023	J	`jnl`	STen: Productive and Efficient Sparsity in PyTorch. CoRR Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Saleh Ashkboos, Torsten Hoefler
2023	J	`jnl`	SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression. CoRR Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
2023	A*	`conf`	Sparse Hamming Graph: A Customizable Network-on-Chip Topology. DAC Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler
2023	J	`jnl`	Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra. CoRR Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini
2023	J	`jnl`	Sparse Stream Semantic Registers: A Lightweight ISA Extension Accelerating General Sparse Linear Algebra. IEEE Trans. Parallel Distributed Syst. Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini
2023	A	`conf`	Streaming Task Graph Scheduling for Dataflow Architectures. HPDC Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
2023	J	`jnl`	Streaming Task Graph Scheduling for Dataflow Architectures. CoRR Tiziano De Matteis, Lukas Gianinazzi, Johannes de Fine Licht, Torsten Hoefler
2023	A	`conf`	The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores. SC Maciej Besta, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Nils Blach, Berke Egeli, George Mitenkov, Wojciech Chlapek, Marek T. Michalewicz, Hubert Niewiadomski, Jürgen Müller, Torsten Hoefler
2023	J	`jnl`	Towards End-to-end 4-Bit Inference on Generative Large Language Models. CoRR Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh
2023	B	`conf`	User-guided Page Merging for Memory Deduplication in Serverless Systems. IEEE Big Data Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler
2023	J	`jnl`	User-guided Page Merging for Memory Deduplication in Serverless Systems. CoRR Wei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler
2023	A	`conf`	VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. SC Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler
2023	J	`jnl`	VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. CoRR Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler
2023	A	`conf`	rFaaS: Enabling High Performance Serverless with RDMA and Leases. IPDPS Marcin Copik, Konstantin Taranov, Alexandru Calotoiu, Torsten Hoefler
2022	A	`conf`	A RDMA Interface for Ultra-Fast Ultrasound Data-Streaming over an Optical Link. DATE Andrea Cossettini, Konstantin Taranov, Christian Vogt, Michele Magno, Torsten Hoefler, Luca Benini
2022	A	`conf`	A data-centric optimization framework for machine learning. ICS Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
2022	—	`conf`	Accelerating Data Serialization/Deserialization Protocols with In-Network Compute. ExaMPI@SC Shiyi Cao, Salvatore Di Girolamo, Torsten Hoefler
2022	J	`jnl`	Assessing requirements to scale to practical quantum advantage. CoRR Michael E. Beverland, Prakash Murali, Matthias Troyer, Krysta M. Svore, Torsten Hoefler, Vadym Kliuchnikov, Guang Hao Low, Mathias Soeken, Aarthi Sundaram, Alexander Vaschillo
2022	A	`conf`	Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. IPDPS András Strausz, Flavio Vella, Salvatore Di Girolamo, Maciej Besta, Torsten Hoefler
2022	J	`jnl`	Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching. CoRR András Strausz, Flavio Vella, Salvatore Di Girolamo, Maciej Besta, Torsten Hoefler
2022	J	`jnl`	Benchmarking Data Science: 12 Ways to Lie With Statistics and Performance on Parallel Computers. Computer Torsten Hoefler
2022	A	`conf`	Boosting Performance Optimization with Interactive Data Movement Visualization. SC Philipp Schaad, Tal Ben-Nun, Torsten Hoefler
2022	J	`jnl`	Boosting Performance Optimization with Interactive Data Movement Visualization. CoRR Philipp Schaad, Tal Ben-Nun, Torsten Hoefler
2022	A	`conf`	Building Blocks for Network-Accelerated Distributed File Systems. SC Salvatore Di Girolamo, Daniele De Sensi, Konstantin Taranov, Milos Malesevic, Maciej Besta, Timo Schneider, Severin Kistler, Torsten Hoefler
2022	J	`jnl`	Building Blocks for Network-Accelerated Distributed File Systems. CoRR Salvatore Di Girolamo, Daniele De Sensi, Konstantin Taranov, Milos Malesevic, Maciej Besta, Timo Schneider, Severin Kistler, Torsten Hoefler
2022	A	`conf`	Circuits for Measurement Based Quantum State Preparation. DATE Niels Gleinig, Torsten Hoefler
2022	J	`jnl`	Compressing multidimensional weather and climate data into neural networks. CoRR Langwen Huang, Torsten Hoefler
2022	A	`conf`	Deinsum: Practically I/O Optimal Multi-Linear Algebra. SC Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler
2022	J	`jnl`	Deinsum: Practically I/O Optimal Multilinear Algebra. CoRR Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, Torsten Hoefler
2022	J	`jnl`	ENS-10: A Dataset For Post-Processing Ensemble Weather Forecast. CoRR Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler
2022	A*	`conf`	ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts. NeurIPS Saleh Ashkboos, Langwen Huang, Nikoli Dryden, Tal Ben-Nun, Peter Dueben, Lukas Gianinazzi, Luca Kummer, Torsten Hoefler
2022	A	`conf`	Efficient Quantized Sparse Matrix Operations on Tensor Cores. SC Shigang Li, Kazuki Osawa, Torsten Hoefler
2022	J	`jnl`	Efficient Quantized Sparse Matrix Operations on Tensor Cores. CoRR Shigang Li, Kazuki Osawa, Torsten Hoefler
2022	J	`jnl`	Efficient RDMA Communication Protocols. CoRR Konstantin Taranov, Fabian Fischer, Torsten Hoefler
2022	J	`jnl`	FaasKeeper: a Blueprint for Serverless Services. CoRR Marcin Copik, Alexandru Calotoiu, Konstantin Taranov, Torsten Hoefler
2022	Misc	`conf`	Fast Arbitrary Precision Floating Point on FPGA. FCCM Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler
2022	J	`jnl`	Fast Arbitrary Precision Floating Point on FPGA. CoRR Johannes de Fine Licht, Christopher A. Pattison, Alexandros Nikolaos Ziogas, David Simmons-Duffin, Torsten Hoefler
2022	J	`jnl`	GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers. CoRR Elias Frantar, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
2022	A	`conf`	HammingMesh: A Network Topology for Large-Scale Deep Learning. SC Torsten Hoefler, Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Jon Belk, Deepak Goel, Miguel Castro, Steve Scott
2022	J	`jnl`	HammingMesh: A Network Topology for Large-Scale Deep Learning. CoRR Torsten Hoefler, Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo, Shigang Li, Marco Heddes, Jon Belk, Deepak Goel, Miguel Castro, Steve Scott
2022	J	`jnl`	HexaMesh: Scaling to Hundreds of Chiplets with an Optimized Chiplet Arrangement. CoRR Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler
2022	A	`conf`	I/O-Optimal Cache-Oblivious Sparse Matrix-Sparse Matrix Multiplication. IPDPS Niels Gleinig, Maciej Besta, Torsten Hoefler
2022	—	`conf`	KafkaDirect: Zero-copy Data Access for Apache Kafka over RDMA Networks. SIGMOD Conference Konstantin Taranov, Steve Byan, Virendra J. Marathe, Torsten Hoefler
2022	A	`conf`	Lifting C semantics for dataflow optimization. ICS Alexandru Calotoiu, Tal Ben-Nun, Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler
2022	A	`conf`	Metamorphic Fuzzing of C++ Libraries. ICST Andrei Lascu, Alastair F. Donaldson, Tobias Grosser, Torsten Hoefler
2022	A*	`conf`	Motif Prediction with Graph Neural Networks. KDD Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2022	A*	`conf`	NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. CCS Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler
2022	J	`jnl`	NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications. CoRR Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi, Adrian Perrig, Torsten Hoefler
2022	J	`jnl`	Near-Optimal Sparse Allreduce for Distributed Deep Learning. CoRR Shigang Li, Torsten Hoefler
2022	B	`conf`	Near-optimal sparse allreduce for distributed deep learning. PPoPP Shigang Li, Torsten Hoefler
2022	—	`conf`	Neural Graph Databases. LoG Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler
2022	J	`jnl`	Neural Graph Databases. CoRR Maciej Besta, Patrick Iff, Florian Scheidl, Kazuki Osawa, Nikoli Dryden, Michal Podstawski, Tiancheng Chen, Torsten Hoefler
2022	A*	`conf`	Neural Parameter Allocation Search. ICLR Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko
2022	J	`jnl`	Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. CoRR Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler
2022	J	`jnl`	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis. CoRR Maciej Besta, Torsten Hoefler
2022	A	`conf`	Performance-detective: automatic deduction of cheap and accurate performance models. ICS Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Dominik Werle, Andreas Reiter, Michael Selzer, Anne Koziolek, Torsten Hoefler
2022	J	`jnl`	PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices. CoRR Kazuki Osawa, Shigang Li, Torsten Hoefler
2022	A	`conf`	PolarFly: A Cost-Effective and Flexible Low-Diameter Topology. SC Kartik Lakhotia, Maciej Besta, Laura Monroe, Kelly Isham, Patrick Iff, Torsten Hoefler, Fabrizio Petrini
2022	J	`jnl`	PolarFly: A Cost-Effective and Flexible Low-Diameter Topology. CoRR Kartik Lakhotia, Maciej Besta, Laura Monroe, Kelly Isham, Patrick Iff, Torsten Hoefler, Fabrizio Petrini
2022	A	`conf`	ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. SC Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler
2022	J	`jnl`	ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. CoRR Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler
2022	A	`conf`	Productive Performance Engineering for Weather and Climate Modeling with Python. SC Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler
2022	J	`jnl`	Productive Performance Engineering for Weather and Climate Modeling with Python. CoRR Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler
2022	J	`jnl`	Python FPGA Programming with Data-Centric Multi-Level Design. CoRR Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun, Andreas Kuster, Oliver Rausch, Manuel Burger, Carl-Johannes Johnsen, Torsten Hoefler
2022	J	`jnl`	QIRO: A Static Single Assignment-based Quantum Program Representation for Optimization. ACM Trans. Quantum Comput. David Ittah, Thomas Häner, Vadym Kliuchnikov, Torsten Hoefler
2022	C	`conf`	RED-SEA: Network Solution for Exascale Architectures. DSD Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Pascale Bernier-Bruna, Claire Chen, Said Derradji, Stéphane Guez, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Nikos Chrysos, Manolis Katevenis, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz, Francisco J. Alfaro, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Adrián Castelló, Jose Duro, María Engracia Gómez, Enrique S. Quintana-Ortí, Julio Sahuquillo, Eugenio Stabile
2022	J	`jnl`	SAGE: Software-based Attestation for GPU Execution. CoRR Andrei Ivanov, Benjamin Rothenberger, Arnaud Dethise, Marco Canini, Torsten Hoefler, Adrian Perrig
2022	J	`jnl`	Sparse Hamming Graph: A Customizable Network-on-Chip Topology. CoRR Patrick Iff, Maciej Besta, Matheus A. Cavalcante, Tim Fischer, Luca Benini, Torsten Hoefler
2022	A*	`conf`	Spatial Mixture-of-Experts. NeurIPS Nikoli Dryden, Torsten Hoefler
2022	J	`jnl`	Spatial Mixture-of-Experts. CoRR Nikoli Dryden, Torsten Hoefler
2022	A	`conf`	Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. ICCAD Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler
2022	J	`jnl`	Temporal Vectorization: A Compiler Approach to Automatic Multi-Pumping. CoRR Carl-Johannes Johnsen, Tiziano De Matteis, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler
2022	J	`jnl`	The Convergence of Hyperscale Data Center and High-Performance Computing Networks. Computer Torsten Hoefler, Ariel Hendel, Duncan Roweth
2022	B	`conf`	The Red-Blue Pebble Game on Trees and DAGs with Large Input. SIROCCO Niels Gleinig, Torsten Hoefler
2022	J	`jnl`	The spatial computer: A model for energy-efficient parallel computation. CoRR Lukas Gianinazzi, Tal Ben-Nun, Saleh Ashkboos, Yves Baumann, Piotr Luczynski, Torsten Hoefler
2022	J	`jnl`	Work-Stealing Prefix Scan: Addressing Load Imbalance in Large-Scale Image Registration. IEEE Trans. Parallel Distributed Syst. Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
2021	J	`jnl`	A Data-Centric Optimization Framework for Machine Learning. CoRR Oliver Rausch, Tal Ben-Nun, Nikoli Dryden, Andrei Ivanov, Shigang Li, Torsten Hoefler
2021	A*	`conf`	A RISC-V in-network accelerator for flexible high-performance low-power packet processing. ISCA Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz, Timo Schneider, Jakub Beránek, Luca Benini, Torsten Hoefler
2021	A*	`conf`	An Efficient Algorithm for Sparse Quantum State Preparation. DAC Niels Gleinig, Torsten Hoefler
2021	J	`jnl`	Breaking (Global) Barriers in Parallel Stochastic Optimization With Wait-Avoiding Group Averaging. IEEE Trans. Parallel Distributed Syst. Shigang Li, Tal Ben-Nun, Giorgi Nadiradze, Salvatore Di Girolamo, Nikoli Dryden, Dan Alistarh, Torsten Hoefler
2021	A	`conf`	Chimera: efficiently training large-scale neural networks with bidirectional pipelines. SC Shigang Li, Torsten Hoefler
2021	J	`jnl`	Clairvoyant Prefetching for Distributed Machine Learning I/O. CoRR Roman Böhringer, Nikoli Dryden, Tal Ben-Nun, Torsten Hoefler
2021	A	`conf`	Clairvoyant prefetching for distributed machine learning I/O. SC Nikoli Dryden, Roman Böhringer, Tal Ben-Nun, Torsten Hoefler
2021	—	`conf`	CoRM: Compactable Remote Memory over RDMA. SIGMOD Conference Konstantin Taranov, Salvatore Di Girolamo, Torsten Hoefler
2021	J	`jnl`	Communication Lower Bounds of Bilinear Algorithms for Symmetric Tensor Contractions. SIAM J. Sci. Comput. Edgar Solomonik, James Demmel, Torsten Hoefler
2021	—	`conf`	Data Movement Is All You Need: A Case Study on Optimizing Transformers. MLSys Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler
2021	J	`jnl`	Distributed Quantum Computing with QMPI. CoRR Thomas Häner, Damian S. Steiger, Torsten Hoefler, Matthias Troyer
2021	A	`conf`	Distributed quantum computing with QMPI. SC Thomas Häner, Damian S. Steiger, Torsten Hoefler, Matthias Troyer
2021	J	`jnl`	Domain-Specific Multi-Level IR Rewriting for GPU: The Open Earth Compiler for GPU-accelerated Climate Simulation. ACM Trans. Archit. Code Optim. Tobias Gysi, Christoph Müller, Oleksandr Zinenko, Stephan Herhut, Eddie Davis, Tobias Wicky, Oliver Fuhrer, Torsten Hoefler, Tobias Grosser
2021	J	`jnl`	Enabling Dataflow Optimization for Quantum Programs. CoRR David Ittah, Thomas Häner, Vadym Kliuchnikov, Torsten Hoefler
2021	B	`conf`	Extracting clean performance models from tainted programs. PPoPP Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler
2021	J	`jnl`	FPL: fast Presburger arithmetic through transprecision. Proc. ACM Program. Lang. Arjun Pitchanathan, Christian Ulmann, Michel Weber, Torsten Hoefler, Tobias Grosser
2021	J	`jnl`	Flare: Flexible In-Network Allreduce. CoRR Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler
2021	A	`conf`	Flare: flexible in-network allreduce. SC Daniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li, Torsten Hoefler
2021	J	`jnl`	GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. CoRR Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beránek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Özdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Pavel Kalvoda, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021	J	`jnl`	GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra. Proc. VLDB Endow. Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beránek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Özdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021	—	`conf`	Hermes: Enabling efficient large-scale simulation in MATSim. ANT/EDI40 Dan Graur, Rodrigo Bruno, Joschka Bischoff, Marcel Rieser, Wolfgang Scherr, Torsten Hoefler, Gustavo Alonso
2021	J	`jnl`	High-Performance Routing With Multipathing and Path Diversity in Ethernet and HPC Networks. IEEE Trans. Parallel Distributed Syst. Maciej Besta, Jens Domke, Marcel Schneider, Marek Konieczny, Salvatore Di Girolamo, Timo Schneider, Ankit Singla, Torsten Hoefler
2021	A	`conf`	Indirection Stream Semantic Register Architecture for Efficient Sparse-Dense Linear Algebra. DATE Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini
2021	J	`jnl`	Learning Combinatorial Node Labeling Algorithms. CoRR Lukas Gianinazzi, Maximilian Fries, Nikoli Dryden, Tal Ben-Nun, Maciej Besta, Torsten Hoefler
2021	J	`jnl`	Lifting C Semantics for Dataflow Optimization. CoRR Alexandru Calotoiu, Tal Ben-Nun, Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler
2021	—	`conf`	MigrOS: Transparent Live-Migration Support for Containerised RDMA Applications. USENIX ATC Maksym Planeta, Jan Bierbaum, Leo Sahaya Daphne Antony, Torsten Hoefler, Hermann Härtig
2021	J	`jnl`	Motif Prediction with Graph Neural Networks. CoRR Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
2021	A	`conf`	NPBench: a benchmarking suite for high-performance NumPy. ICS Alexandros Nikolaos Ziogas, Tal Ben-Nun, Timo Schneider, Torsten Hoefler
2021	—	`conf`	Naos: Serialization-free RDMA networking in Java. USENIX ATC Konstantin Taranov, Rodrigo Bruno, Gustavo Alonso, Torsten Hoefler
2021	J	`jnl`	Noise in the Clouds: Influence of Network Performance Variability on Application Scalability. Proc. ACM Meas. Anal. Comput. Syst. Daniele De Sensi, Tiziano De Matteis, Konstantin Taranov, Salvatore Di Girolamo, Tobias Rahn, Torsten Hoefler
2021	A	`conf`	Noise-Resilient Empirical Performance Modeling with Deep Neural Networks. IPDPS Marcus Ritter, Alexander Geiß, Johannes Wehrstein, Alexandru Calotoiu, Thorsten Reimann, Torsten Hoefler, Felix Wolf
2021	J	`jnl`	On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal Matrix Factorizations. CoRR Grzegorz Kwasniewski, Marko Kabic, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Jens Eirik Saethre, André Gaillard, Timo Schneider, Maciej Besta, Anton Kozhevnikov, Joost VandeVondele, Torsten Hoefler
2021	B	`conf`	On the parallel I/O optimality of linear algebra kernels: near-optimal LU factorization. PPoPP Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler
2021	A	`conf`	On the parallel I/O optimality of linear algebra kernels: near-optimal matrix factorizations. SC Grzegorz Kwasniewski, Marko Kabic, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Jens Eirik Saethre, André Gaillard, Timo Schneider, Maciej Besta, Anton Kozhevnikov, Joost VandeVondele, Torsten Hoefler
2021	B	`conf`	Parallel Algorithms for Finding Large Cliques in Sparse Graphs. SPAA Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
2021	J	`jnl`	Parallel Algorithms for Finding Large Cliques in Sparse Graphs. CoRR Lukas Gianinazzi, Maciej Besta, Yannick Schaffner, Torsten Hoefler
2021	B	`conf`	Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. SPAA Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
2021	J	`jnl`	Pebbles, Graphs, and a Pinch of Combinatorics: Towards Tight I/O Lower Bounds for Statically Analyzable Programs. CoRR Grzegorz Kwasniewski, Tal Ben-Nun, Lukas Gianinazzi, Alexandru Calotoiu, Timo Schneider, Alexandros Nikolaos Ziogas, Maciej Besta, Torsten Hoefler
2021	A*	`conf`	ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. ICML Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle, Hugh Leather
2021	J	`jnl`	Productivity, Portability, Performance: Data-Centric Python. CoRR Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
2021	A	`conf`	Productivity, portability, performance: data-centric Python. SC Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, Torsten Hoefler
2021	J	`jnl`	RFaaS: RDMA-Enabled FaaS Platform for Serverless High-Performance Computing. CoRR Marcin Copik, Konstantin Taranov, Alexandru Calotoiu, Torsten Hoefler
2021	A*	`conf`	ReDMArk: Bypassing RDMA Security Mechanisms. USENIX Security Symposium Benjamin Rothenberger, Konstantin Taranov, Adrian Perrig, Torsten Hoefler
2021	A*	`conf`	SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. MICRO Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez-Luna, Jakub Golinowski, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Nils Blach, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021	J	`jnl`	SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems. CoRR Maciej Besta, Raghavendra Kanakagiri, Grzegorz Kwasniewski, Rachata Ausavarungnirun, Jakub Beránek, Konstantinos Kanellopoulos, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Ioana Stefan, Juan Gómez-Luna, Marcin Copik, Lukas Kapp-Schwoerer, Salvatore Di Girolamo, Marek Konieczny, Onur Mutlu, Torsten Hoefler
2021	A	`conf`	SeBS: a serverless benchmark suite for function-as-a-service computing. Middleware Marcin Copik, Grzegorz Kwasniewski, Maciej Besta, Michal Podstawski, Torsten Hoefler
2021	J	`jnl`	Snitch: A Tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads. IEEE Trans. Computers Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini
2021	J	`jnl`	Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. CoRR Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste
2021	J	`jnl`	Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. J. Mach. Learn. Res. Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste
2021	A	`conf`	StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. CGO Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler
2021	J	`jnl`	Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores. IEEE Trans. Computers Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini
2021	J	`jnl`	The digital revolution of Earth-system science. Nat. Comput. Sci. Peter Bauer, Peter D. Düben, Torsten Hoefler, Tiago Quintino, Thomas C. Schulthess, Nils P. Wedi
2021	J	`jnl`	Towards Million-Server Network Simulations on Just a Laptop. CoRR Maciej Besta, Marcel Schneider, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler
2021	J	`jnl`	Transformations of High-Level Synthesis Codes for High-Performance Computing. IEEE Trans. Parallel Distributed Syst. Johannes de Fine Licht, Maciej Besta, Simon Meierhans, Torsten Hoefler
2020	J	`jnl`	A Fast Analytical Model of Fully Associative Caches. CoRR Tobias Gysi, Tobias Grosser, Laurin Brandner, Torsten Hoefler
2020	A*	`conf`	ATUNs: Modular and Scalable Support for Atomic Operations in a Shared Memory Multiprocessor. DAC Andreas Kurth, Samuel Riedel, Florian Zaruba, Torsten Hoefler, Luca Benini
2020	J	`jnl`	Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages. CoRR Maciej Besta, Torsten Hoefler
2020	J	`jnl`	An In-Depth Analysis of the Slingshot Interconnect. CoRR Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler
2020	A	`conf`	An in-depth analysis of the slingshot interconnect. SC Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler
2020	J	`jnl`	Assertion-based optimization of Quantum programs. Proc. ACM Program. Lang. Thomas Häner, Torsten Hoefler, Matthias Troyer
2020	A*	`conf`	Augment Your Batch: Improving Generalization Through Instance Repetition. CVPR Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2020	J	`jnl`	Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging. CoRR Shigang Li, Tal Ben-Nun, Dan Alistarh, Salvatore Di Girolamo, Nikoli Dryden, Torsten Hoefler
2020	C	`conf`	Communication and Timing Issues with MPI Virtualization. EuroMPI Alexandr Nigay, Lukas Mosimann, Timo Schneider, Torsten Hoefler
2020	A	`conf`	Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. IPDPS Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik
2020	J	`jnl`	Data Movement Is All You Need: A Case Study on Optimizing Transformers. CoRR Andrei Ivanov, Nikoli Dryden, Tal Ben-Nun, Shigang Li, Torsten Hoefler
2020	J	`jnl`	Dawn: a High-level Domain-Specific Language Compiler Toolchain for Weather and Climate Applications. Supercomput. Front. Innov. Carlos Osuna, Tobias Wicky, Fabian Thuering, Torsten Hoefler, Oliver Fuhrer
2020	J	`jnl`	Deep Data Flow Analysis. CoRR Chris Cummins, Hugh Leather, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Michael F. P. O'Boyle
2020	J	`jnl`	Deep Learning for Post-Processing Ensemble Weather Forecasts. CoRR Peter Grönquist, Chengyuan Yao, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Shigang Li, Torsten Hoefler
2020	J	`jnl`	Domain-Specific Multi-Level IR Rewriting for GPU. CoRR Tobias Gysi, Christoph Müller, Oleksandr Zinenko, Stephan Herhut, Eddie Davis, Tobias Wicky, Oliver Fuhrer, Torsten Hoefler, Tobias Grosser
2020	—	`conf`	Empirical Modeling of Spatially Diverging Performance. HUST/ProTools@SC Alexandru Calotoiu, Markus Geisenhofer, Florian Kummer, Marcus Ritter, Jens Weber, Torsten Hoefler, Martin Oberlack, Felix Wolf
2020	J	`jnl`	Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided. CoRR Robert Gerstenberger, Maciej Besta, Torsten Hoefler
2020	J	`jnl`	Evaluating the Cost of Atomic Operations on Modern Architectures. CoRR Hermann Schweizer, Maciej Besta, Torsten Hoefler
2020	—	`ch.`	ExtraPeak: Advanced Automatic Performance Modeling for HPC Applications. Software for Exascale Computing Alexandru Calotoiu, Marcin Copik, Torsten Hoefler, Marcus Ritter, Sergei Shudler, Felix Wolf
2020	J	`jnl`	Extracting Clean Performance Models from Tainted Programs. CoRR Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler
2020	J	`jnl`	Fast linear programming through transprecision computing on small and sparse data. Proc. ACM Program. Lang. Tobias Grosser, Theodoros Theodoridis, Maximilian Falkenstein, Arjun Pitchanathan, Michael Kruse, Manuel Rigger, Zhendong Su, Torsten Hoefler
2020	A	`conf`	FatPaths: routing in supercomputers and data centers when shortest paths fall short. SC Maciej Besta, Marcel Schneider, Marek Konieczny, Karolina Cynk, Erik Henriksson, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler
2020	J	`jnl`	Fault Tolerance for Remote Memory Access Programming Models. CoRR Maciej Besta, Torsten Hoefler
2020	A	`conf`	Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. FPGA Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler
2020	J	`jnl`	High-Performance Distributed RMA Locks. CoRR Patrick Schmid, Maciej Besta, Torsten Hoefler
2020	J	`jnl`	High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality. CoRR Maciej Besta, Armon Carigiet, Zur Vonarburg-Shmaria, Kacper Janda, Lukas Gianinazzi, Torsten Hoefler
2020	J	`jnl`	High-Performance Routing with Multipathing and Path Diversity in Supercomputers and Data Centers. CoRR Maciej Besta, Jens Domke, Marcel Schneider, Marek Konieczny, Salvatore Di Girolamo, Timo Schneider, Ankit Singla, Torsten Hoefler
2020	A	`conf`	High-performance parallel graph coloring with strong guarantees on work, depth, and quality. SC Maciej Besta, Armon Carigiet, Kacper Janda, Zur Vonarburg-Shmaria, Lukas Gianinazzi, Torsten Hoefler
2020	B	`conf`	Identifying scalability bottlenecks for large-scale parallel programs with graph analysis. PPoPP Yuyang Jin, Haojie Wang, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai
2020	J	`jnl`	Indirection Stream Semantic Register Architecture for Efficient Sparse-Dense Linear Algebra. CoRR Paul Scheffler, Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini
2020	A	`conf`	Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling. IPDPS Marcus Ritter, Alexandru Calotoiu, Sebastian Rinke, Thorsten Reimann, Torsten Hoefler, Felix Wolf
2020	J	`jnl`	Log(Graph): A Near-Optimal High-Performance Graph Representation. CoRR Maciej Besta, Dimitri Stanojevic, Tijana Zivic, Jagpreet Singh, Maurice Hoerold, Torsten Hoefler
2020	J	`jnl`	On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization. CoRR Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler
2020	B	`conf`	Parallel Planar Subgraph Isomorphism and Vertex Connectivity. SPAA Lukas Gianinazzi, Torsten Hoefler
2020	J	`jnl`	Parallel Planar Subgraph Isomorphism and Vertex Connectivity. CoRR Lukas Gianinazzi, Torsten Hoefler
2020	J	`jnl`	Parametric Graph Templates: Properties and Algorithms. CoRR Tal Ben-Nun, Lukas Gianinazzi, Torsten Hoefler, Yishai Oltchik
2020	J	`jnl`	Polyhedral Compilation for Racetrack Memories. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Asif Ali Khan, Hauke Mewes, Tobias Grosser, Torsten Hoefler, Jerónimo Castrillón
2020	J	`jnl`	ProGraML: Graph-based Deep Learning for Program Optimization and Analysis. CoRR Chris Cummins, Zacharias V. Fisches, Tal Ben-Nun, Torsten Hoefler, Hugh Leather
2020	J	`jnl`	PsPIN: A high-performance low-power architecture for flexible in-network compute. CoRR Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz, Timo Schneider, Jakub Beránek, Luca Benini, Torsten Hoefler
2020	J	`jnl`	ScalAna: Automating Scaling Loss Detection with Graph Analysis. CoRR Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai
2020	A	`conf`	ScalAna: automating scaling loss detection with graph analysis. SC Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai
2020	J	`jnl`	SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing. CoRR Marcin Copik, Grzegorz Kwasniewski, Maciej Besta, Michal Podstawski, Torsten Hoefler
2020	J	`jnl`	Shapeshifter Networks: Cross-layer Parameter Sharing for Scalable and Effective Deep Learning. CoRR Bryan A. Plummer, Nikoli Dryden, Julius Frost, Torsten Hoefler, Kate Saenko
2020	J	`jnl`	Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability. CoRR Maciej Besta, Syed Minhaj Hassan, Sudhakar Yalamanchili, Rachata Ausavarungnirun, Onur Mutlu, Torsten Hoefler
2020	J	`jnl`	SlimSell: A Vectorizable Graph Representation for Breadth-First Search. CoRR Maciej Besta, Florian Marending, Edgar Solomonik, Torsten Hoefler
2020	J	`jnl`	Snitch: A 10 kGE Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads. CoRR Florian Zaruba, Fabian Schuiki, Torsten Hoefler, Luca Benini
2020	J	`jnl`	Special issue: Selected papers from EuroMPI 2019. Parallel Comput. Jesper Larsson Träff, Torsten Hoefler
2020	J	`jnl`	StencilFlow: Mapping Large Stencil Programs to Distributed Spatial Computing Systems. CoRR Johannes de Fine Licht, Andreas Kuster, Tiziano De Matteis, Tal Ben-Nun, Dominic Hofer, Torsten Hoefler
2020	J	`jnl`	Substream-Centric Maximum Matchings on FPGA. CoRR Maciej Besta, Marc Fischer, Tal Ben-Nun, Dimitri Stanojevic, Johannes de Fine Licht, Torsten Hoefler
2020	J	`jnl`	Substream-Centric Maximum Matchings on FPGA. ACM Trans. Reconfigurable Technol. Syst. Maciej Besta, Marc Fischer, Tal Ben-Nun, Dimitri Stanojevic, Johannes de Fine Licht, Torsten Hoefler
2020	B	`conf`	Taming unbalanced training workloads in deep learning with partial collective operations. PPoPP Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler
2020	J	`jnl`	TardiS: Migrating Containers with RDMA Networks. CoRR Maksym Planeta, Jan Bierbaum, Leo Sahaya Daphne Antony, Torsten Hoefler, Hermann Härtig
2020	J	`jnl`	To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations. CoRR Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, Torsten Hoefler
2020	J	`jnl`	Work-stealing prefix scan: Addressing load imbalance in large-scale image registration. CoRR Marcin Copik, Tobias Grosser, Torsten Hoefler, Paolo Bientinesi, Benjamin Berkels
2020	A	`conf`	fBLAS: streaming linear algebra on FPGA. SC Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler
2020	—	`conf`	sRDMA - Efficient NIC-based Authentication and Encryption for Remote Direct Memory Access. USENIX ATC Konstantin Taranov, Benjamin Rothenberger, Adrian Perrig, Torsten Hoefler
2019	J	`jnl`	A Data-Centric Approach to Extreme-Scale Ab initio Dissipative Quantum Transport Simulations. CoRR Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	A	`conf`	A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. IPDPS Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler
2019	J	`jnl`	A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning. CoRR Tal Ben-Nun, Maciej Besta, Simon Huber, Alexandros Nikolaos Ziogas, Daniel Peter, Torsten Hoefler
2019	A	`conf`	A data-centric approach to extreme-scale SC Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	A*	`conf`	A fast analytical model of fully associative caches. PLDI Tobias Gysi, Tobias Grosser, Laurin Brandner, Torsten Hoefler
2019	B	`conf`	Absinthe: Learning an Analytical Performance Model to Fuse and Tile Stencil Codes in One Shot. PACT Tobias Gysi, Tobias Grosser, Torsten Hoefler
2019	J	`jnl`	Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations. CoRR Maciej Besta, Torsten Hoefler
2019	J	`jnl`	Augment your batch: better training with larger batches. CoRR Elad Hoffer, Tal Ben-Nun, Itay Hubara, Niv Giladi, Torsten Hoefler, Daniel Soudry
2019	J	`jnl`	Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons. CoRR Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik
2019	B	`conf`	Corrected trees for reliable group communication. PPoPP Martin Küttler, Maksym Planeta, Jan Bierbaum, Carsten Weinhold, Hermann Härtig, Amnon Barak, Torsten Hoefler
2019	J	`jnl`	Demystifying Graph Databases: Analysis and Taxonomy of Data Organization, System Designs, and Graph Queries. CoRR Maciej Besta, Emanuel Peter, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Claude Barthels, Gustavo Alonso, Torsten Hoefler
2019	J	`jnl`	Demystifying Parallel and Distributed Deep Learning: An In-depth Concurrency Analysis. ACM Comput. Surv. Tal Ben-Nun, Torsten Hoefler
2019	A*	`conf`	Embedding Functions Into Reversible Circuits: A Probabilistic Approach to the Number of Lines. DAC Niels Gleinig, Frances Ann Hubis, Torsten Hoefler
2019	J	`jnl`	Engineering Algorithms for Scalability through Continuous Validation of Performance Expectations. IEEE Trans. Parallel Distributed Syst. Sergei Shudler, Yannick Berens, Alexandru Calotoiu, Torsten Hoefler, Alexandre Strube, Felix Wolf
2019	J	`jnl`	FBLAS: Streaming Linear Algebra on FPGA. CoRR Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler
2019	J	`jnl`	FatPaths: Routing in Supercomputers, Data Centers, and Clouds with Low-Diameter Networks when Shortest Paths Fall Short. CoRR Maciej Besta, Marcel Schneider, Karolina Cynk, Marek Konieczny, Erik Henriksson, Salvatore Di Girolamo, Ankit Singla, Torsten Hoefler
2019	J	`jnl`	Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis. CoRR Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler
2019	C	`conf`	Foreword EuroMPI 2019. EuroMPI Jesper Larsson Träff, Torsten Hoefler
2019	J	`jnl`	Graph Processing on FPGAs: Taxonomy, Survey, Challenges. CoRR Maciej Besta, Dimitri Stanojevic, Johannes de Fine Licht, Tal Ben-Nun, Torsten Hoefler
2019	J	`jnl`	Head-of-line blocking avoidance in Slim Fly networks using deadlock-free non-minimal and adaptive routing. Concurr. Comput. Pract. Exp. Pedro Yébenes, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Torsten Hoefler
2019	—	`conf`	Invited Talk 2. IPDPS Workshops Torsten Hoefler
2019	J	`jnl`	Mitigating Network Noise on Dragonfly Networks through Application-Aware Routing. CoRR Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler
2019	A	`conf`	Mitigating network noise on Dragonfly networks through application-aware routing. SC Daniele De Sensi, Salvatore Di Girolamo, Torsten Hoefler
2019	J	`jnl`	Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency. CoRR Elad Hoffer, Berry Weinstein, Itay Hubara, Tal Ben-Nun, Torsten Hoefler, Daniel Soudry
2019	J	`jnl`	Network-Accelerated Non-Contiguous Memory Transfers. CoRR Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler
2019	A	`conf`	Network-accelerated non-contiguous memory transfers. SC Salvatore Di Girolamo, Konstantin Taranov, Andreas Kurth, Michael Schaffner, Timo Schneider, Jakub Beránek, Maciej Besta, Luca Benini, Duncan Roweth, Torsten Hoefler
2019	J	`jnl`	Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming. CoRR Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	A	`conf`	Optimizing the data movement in quantum transport simulations via data-centric parallel programming. SC Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, Torsten Hoefler
2019	—	`conf`	Porting the COSMO Weather Model to Manycore CPUs. PASC Felix Thaler, Stefan Moosbrugger, Carlos Osuna, Mauro Bianco, Hannes Vogt, Anton Afanasyev, Lukas Mosimann, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler
2019	J	`jnl`	Practice of Streaming and Dynamic Graphs: Concepts, Models, Systems, and Parallelism. CoRR Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler
2019	J	`jnl`	Predicting Weather Uncertainty with Deep Convnets. CoRR Peter Grönquist, Tal Ben-Nun, Nikoli Dryden, Peter Dueben, Luca Lavarini, Shigang Li, Torsten Hoefler
2019	C	`ed.`	Proceedings of the 26th European MPI Users' Group Meeting, EuroMPI 2019, Zürich, Switzerland, September 11-13, 2019. EuroMPI Torsten Hoefler, Jesper Larsson Träff
2019	A	`conf`	Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication. SC Grzegorz Kwasniewski, Marko Kabic, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler
2019	J	`jnl`	Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication. CoRR Grzegorz Kwasniewski, Marko Kabic, Maciej Besta, Joost VandeVondele, Raffaele Solcà, Torsten Hoefler
2019	J	`jnl`	Reflecting on the Goal and Baseline for Exascale Computing: A Roadmap Based on Weather and Climate Simulations. Comput. Sci. Eng. Thomas C. Schulthess, Peter Bauer, Nils Wedi, Oliver Fuhrer, Torsten Hoefler, Christoph M. Schär
2019	A	`conf`	SimFS: A Simulation Data Virtualizing File System Interface. IPDPS Salvatore Di Girolamo, Pirmin Schmid, Thomas C. Schulthess, Torsten Hoefler
2019	J	`jnl`	SimFS: A Simulation Data Virtualizing File System Interface. CoRR Salvatore Di Girolamo, Pirmin Schmid, Thomas C. Schulthess, Torsten Hoefler
2019	J	`jnl`	Slim Fly: A Cost Effective Low-Diameter Network Topology. CoRR Maciej Besta, Torsten Hoefler
2019	J	`jnl`	Slim Graph: Practical Lossy Graph Compression for Approximate Graph Processing, Storage, and Analytics. CoRR Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
2019	A	`conf`	Slim graph: practical lossy graph compression for approximate graph processing, storage, and analytics. SC Maciej Besta, Simon Weber, Lukas Gianinazzi, Robert Gerstenberger, Andrey Ivanov, Yishai Oltchik, Torsten Hoefler
2019	A	`conf`	SparCML: high-performance sparse communication for machine learning. SC Cédric Renggli, Saleh Ashkboos, Mehdi Aghagolzadeh, Dan Alistarh, Torsten Hoefler
2019	J	`jnl`	Stateful Dataflow Multigraphs: A Data-Centric Model for High-Performance Parallel Programs. CoRR Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler
2019	A	`conf`	Stateful dataflow multigraphs: a data-centric model for performance portability on heterogeneous architectures. SC Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, Torsten Hoefler
2019	J	`jnl`	Stream Semantic Registers: A Lightweight RISC-V ISA Extension Achieving Full Compute Utilization in Single-Issue Cores. CoRR Fabian Schuiki, Florian Zaruba, Torsten Hoefler, Luca Benini
2019	J	`jnl`	Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware. CoRR Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler
2019	A	`conf`	Streaming message interface: high-performance distributed memory programming on reconfigurable hardware. SC Tiziano De Matteis, Johannes de Fine Licht, Jakub Beránek, Torsten Hoefler
2019	J	`jnl`	Strong consistency is not hard to get: Two-Phase Locking and Two-Phase Commit on Thousands of Cores. Proc. VLDB Endow. Claude Barthels, Ingo Müller, Konstantin Taranov, Gustavo Alonso, Torsten Hoefler
2019	A	`conf`	Substream-Centric Maximum Matchings on FPGA. FPGA Maciej Besta, Marc Fischer, Tal Ben-Nun, Johannes de Fine Licht, Torsten Hoefler
2019	J	`jnl`	Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations. CoRR Shigang Li, Tal Ben-Nun, Salvatore Di Girolamo, Dan Alistarh, Torsten Hoefler
2019	A	`conf`	Using performance models to understand scalable Krylov solver performance at scale for structured grid problems. ICS Paul R. Eller, Torsten Hoefler, William Gropp
2019	J	`jnl`	hlslib: Software Engineering for Hardware Design. CoRR Johannes de Fine Licht, Torsten Hoefler
2018	C	`conf`	Accelerating Deep Learning Frameworks with Micro-Batches. CLUSTER Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka
2018	B	`conf`	Automatic Verification of RMA Programs via Abstraction Extrapolation. VMCAI Cedric Baumann, Andrei Marian Dan, Yuri Meshman, Torsten Hoefler, Martin T. Vechev
2018	J	`jnl`	Cache-Oblivious MPI All-to-All Communications Based on Morton Order. IEEE Trans. Parallel Distributed Syst. Shigang Li, Yunquan Zhang, Torsten Hoefler
2018	B	`conf`	Communication-avoiding parallel minimum cuts and connected components. PPoPP Lukas Gianinazzi, Pavel Kalvoda, Alessandro De Palma, Maciej Besta, Torsten Hoefler
2018	J	`jnl`	Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis. CoRR Tal Ben-Nun, Torsten Hoefler
2018	B	`conf`	Designing scalable FPGA architectures using high-level synthesis. PPoPP Johannes de Fine Licht, Michaela Blott, Torsten Hoefler
2018	J	`jnl`	Enabling highly scalable remote memory access programming with MPI-3 one sided. Commun. ACM Robert Gerstenberger, Maciej Besta, Torsten Hoefler
2018	A	`conf`	Fast and strongly-consistent per-item resilience in key-value stores. EuroSys Konstantin Taranov, Gustavo Alonso, Torsten Hoefler
2018	C	`conf`	Lightweight Requirements Engineering for Exascale Co-design. CLUSTER Alexandru Calotoiu, Alexander Graf, Torsten Hoefler, Daniel Lorenz, Sebastian Rinke, Felix Wolf
2018	B	`conf`	Log(graph): a near-optimal high-performance graph representation. PACT Maciej Besta, Dimitri Stanojevic, Tijana Zivic, Jagpreet Singh, Maurice Hoerold, Torsten Hoefler
2018	A*	`conf`	Neural Code Comprehension: A Learnable Representation of Code Semantics. NeurIPS Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler
2018	J	`jnl`	Neural Code Comprehension: A Learnable Representation of Code Semantics. CoRR Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler
2018	A*	`conf`	Reproducible Floating-Point Aggregation in RDBMSs. ICDE Ingo Müller, Andrea Arteaga, Torsten Hoefler, Gustavo Alonso
2018	J	`jnl`	Reproducible Floating-Point Aggregation in RDBMSs. CoRR Ingo Müller, Andrea Arteaga, Torsten Hoefler, Gustavo Alonso
2018	A	`conf`	ShenTu: processing multi-trillion edge graphs on millions of cores in seconds. SC Heng Lin, Xiaowei Zhu, Bowen Yu, Xiongchao Tang, Wei Xue, Wenguang Chen, Lufei Zhang, Torsten Hoefler, Xiaosong Ma, Xin Liu, Weimin Zheng, Jingfang Xu
2018	A*	`conf`	Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability. ASPLOS Maciej Besta, Syed Minhaj Hassan, Sudhakar Yalamanchili, Rachata Ausavarungnirun, Onur Mutlu, Torsten Hoefler
2018	J	`jnl`	SparCML: High-Performance Sparse Communication for Machine Learning. CoRR Cédric Renggli, Dan Alistarh, Torsten Hoefler
2018	J	`jnl`	Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations. CoRR Maciej Besta, Torsten Hoefler
2018	A*	`conf`	The Convergence of Sparsified Gradient Methods. NeurIPS Dan Alistarh, Torsten Hoefler, Mikael Johansson, Nikola Konstantinov, Sarit Khirirat, Cédric Renggli
2018	J	`jnl`	The Convergence of Sparsified Gradient Methods. CoRR Dan Alistarh, Torsten Hoefler, Mikael Johansson, Sarit Khirirat, Nikola Konstantinov, Cédric Renggli
2018	J	`jnl`	Transformations of High-Level Synthesis Codes for High-Performance Computing. CoRR Johannes de Fine Licht, Maciej Besta, Simon Meierhans, Torsten Hoefler
2018	J	`jnl`	Using Hoare logic for quantum circuit optimization. CoRR Thomas Häner, Torsten Hoefler, Matthias Troyer
2018	J	`jnl`	μ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching. CoRR Yosuke Oyama, Tal Ben-Nun, Torsten Hoefler, Satoshi Matsuoka
2017	B	`conf`	A Communication-Avoiding Parallel Algorithm for the Symmetric Eigenvalue Problem. SPAA Edgar Solomonik, Grey Ballard, James Demmel, Torsten Hoefler
2017	A	`conf`	AllConcur: Leaderless Concurrent Atomic Broadcast. HPDC Marius Poke, Torsten Hoefler, Colin W. Glass
2017	—	`conf`	An Effective Queuing Scheme to Provide Slim Fly Topologies with HoL Blocking Reduction and Deadlock Freedom for Minimal-Path Routing. HiPINEB@HPCA Pedro Yébenes, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Torsten Hoefler
2017	A	`conf`	Capability Models for Manycore Memory Systems: A Case-Study with Xeon Phi KNL. IPDPS Sabela Ramos, Torsten Hoefler
2017	J	`jnl`	Communication Lower Bounds of Bilinear Algorithms for Symmetric Tensor Contractions. CoRR Edgar Solomonik, James Demmel, Torsten Hoefler
2017	A	`conf`	Communication-Avoiding Parallel Algorithms for Solving Triangular Systems of Linear Equations. IPDPS Tobias Wicky, Edgar Solomonik, Torsten Hoefler
2017	A	`conf`	Corrected Gossip Algorithms for Fast Reliable Broadcast on Unreliable Systems. IPDPS Torsten Hoefler, Amnon Barak, Amnon Shiloh, Zvi Drezner
2017	J	`jnl`	Designing Databases for Future High-Performance Networks. IEEE Data Eng. Bull. Claude Barthels, Gustavo Alonso, Torsten Hoefler
2017	J	`jnl`	Distributed Join Algorithms on Thousands of Cores. Proc. VLDB Endow. Claude Barthels, Gustavo Alonso, Torsten Hoefler, Timo Schneider, Ingo Müller
2017	—	`conf`	EMBRACE Keynote. IPDPS Workshops Torsten Hoefler
2017	—	`conf`	Fast Networks and Slow Memories: A Mechanism for Mitigating Bandwidth Mismatches. Hot Interconnects Timo Schneider, James Dinan, Mario Flajslik, Keith D. Underwood, Torsten Hoefler
2017	—	`conf`	IPDRM Workshop Introduction. IPDPS Workshops Shuaiwen Leon Song, Torsten Hoefler
2017	—	`conf`	Improving Non-minimal and Adaptive Routing Algorithms in Slim Fly Networks. Hot Interconnects Pedro Yébenes, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, Torsten Hoefler
2017	B	`conf`	Isoefficiency in Practice: Configuring and Understanding the Performance of Task-based Applications. PPoPP Sergei Shudler, Alexandru Calotoiu, Torsten Hoefler, Felix Wolf
2017	Misc	`conf`	Model-Driven Choice of Numerical Methods for the Solution of the Linear Advection Equation. ICCS Andrea Arteaga, Oliver Fuhrer, Torsten Hoefler, Thomas C. Schulthess
2017	C	`conf`	Multi-agent Pathfinding with n Agents on Graphs with n Vertices: Combinatorial Classification and Tight Algorithmic Bounds. CIAC Klaus-Tycho Foerster, Linus Groner, Torsten Hoefler, Michael König, Sascha Schmid, Roger Wattenhofer
2017	B	`conf`	POSTER: Cache-Oblivious MPI All-to-All Communications on Many-Core Architectures. PPoPP Shigang Li, Yunquan Zhang, Torsten Hoefler
2017	—	`ed.`	Proceedings of the 7th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS@HPDC 2017, Washingon, DC, DC, USA, June 27 - 27, 2017 ROSS@HPDC Torsten Hoefler, Kamil Iskra
2017	A	`conf`	Scaling betweenness centrality using communication-efficient sparse matrix multiplication. SC Edgar Solomonik, Maciej Besta, Flavio Vella, Torsten Hoefler
2017	A	`conf`	SlimSell: A Vectorizable Graph Representation for Breadth-First Search. IPDPS Maciej Besta, Florian Marending, Edgar Solomonik, Torsten Hoefler
2017	A	`conf`	To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations. HPDC Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, Torsten Hoefler
2017	A	`conf`	Transparent Caching for RMA Systems. IPDPS Salvatore Di Girolamo, Flavio Vella, Torsten Hoefler
2017	J	`jnl`	Trends in Data Locality Abstractions for HPC Systems. IEEE Trans. Parallel Distributed Syst. Didem Unat, Anshu Dubey, Torsten Hoefler, John Shalf, Mark James Abraham, Mauro Bianco, Bradford L. Chamberlain, Romain Cledat, H. Carter Edwards, Hal Finkel, Karl Fuerlinger, Frank Hannig, Emmanuel Jeannot, Amir Kamil, Jeff Keasler, Paul H. J. Kelly, Vitus J. Leung, Hatem Ltaief, Naoya Maruyama, Chris J. Newburn, Miquel Pericàs
2017	J	`jnl`	sPIN: High-performance streaming Processing in the Network. CoRR Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov, Ryan E. Grant, Ron Brightwell
2017	A	`conf`	sPIN: high-performance streaming processing in the network. SC Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov, Ryan E. Grant, Ron Brightwell
2016	A	`conf`	A PCIe congestion-aware performance model for densely populated accelerator servers. SC Maxime Martinasso, Grzegorz Kwasniewski, Sadaf R. Alam, Thomas C. Schulthess, Torsten Hoefler
2016	J	`jnl`	A communication-avoiding parallel algorithm for the symmetric eigenvalue problem. CoRR Edgar Solomonik, Grey Ballard, James Demmel, Torsten Hoefler
2016	J	`jnl`	AllConcur: Leaderless Concurrent Atomic Broadcast (Extended Version). CoRR Marius Poke, Torsten Hoefler, Colin W. Glass
2016	—	`ch.`	Automatic Performance Modeling of HPC Applications. Software for Exascale Computing Felix Wolf, Christian H. Bischof, Alexandru Calotoiu, Torsten Hoefler, Christian Iwainsky, Grzegorz Kwasniewski, Bernd Mohr, Sergei Shudler, Alexandre Strube, Andreas Vogel, Gabriel Wittum
2016	J	`jnl`	Betweenness Centrality is more Parallelizable than Dense Matrix Multiplication. CoRR Edgar Solomonik, Maciej Besta, Flavio Vella, Torsten Hoefler
2016	J	`jnl`	Cache Line Aware Algorithm Design for Cache-Coherent Architectures. IEEE Trans. Parallel Distributed Syst. Sabela Ramos, Torsten Hoefler
2016	J	`jnl`	Communication-Avoiding Parallel Algorithms for Solving Triangular Systems of Linear Equations. CoRR Tobias Wicky, Edgar Solomonik, Torsten Hoefler
2016	—	`conf`	Ensuring Deadlock-Freedom in Low-Diameter InfiniBand Networks. Hot Interconnects Timo Schneider, Otto Bibartiu, Torsten Hoefler
2016	J	`jnl`	Exploiting Offload-Enabled Network Interfaces. IEEE Micro Salvatore Di Girolamo, Pierre Jolivet, Keith D. Underwood, Torsten Hoefler
2016	A	`conf`	Extreme scale plasma turbulence simulations on top supercomputers worldwide. SC William M. Tang, Bei Wang, Stéphane Ethier, Grzegorz Kwasniewski, Torsten Hoefler, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, Carlos Rosales-Fernandez, Timothy J. Williams
2016	C	`conf`	Fast Multi-parameter Performance Modeling. CLUSTER Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf
2016	A	`conf`	High-Performance Distributed RMA Locks. HPDC Patrick Schmid, Maciej Besta, Torsten Hoefler
2016	A	`conf`	Modeling and analysis of remote memory access programming. OOPSLA Andrei Marian Dan, Patrick Lam, Torsten Hoefler, Martin T. Vechev
2016	J	`jnl`	On noise and the performance benefit of nonblocking collectives. Int. J. High Perform. Comput. Appl. Patrick M. Widener, Scott Levy, Kurt B. Ferreira, Torsten Hoefler
2016	A	`conf`	Polly-ACC Transparent compilation to heterogeneous hardware. ICS Tobias Grosser, Torsten Hoefler
2016	—	`ed.`	Proceedings of the 6th International Workshop on Runtime and Operating Systems for Supercomputers, Kyoto, Japan, June 1, 2016 ROSS@HPDC Kamil Iskra, Torsten Hoefler
2016	—	`ed.`	Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2016, Lausanne, Switzerland, June 8-10, 2016 PASC Torsten Hoefler, David E. Keyes, Timothy Robinson
2016	A	`conf`	Routing on the Dependency Graph: A New Approach to Deadlock-Free High-Performance Routing. HPDC Jens Domke, Torsten Hoefler, Satoshi Matsuoka
2016	B	`conf`	SDNsec: Forwarding Accountability for the SDN Data Plane. ICCCN Takayuki Sasaki, Christos Pappas, Taeho Lee, Torsten Hoefler, Adrian Perrig
2016	J	`jnl`	SDNsec: Forwarding Accountability for the SDN Data Plane. CoRR Takayuki Sasaki, Christos Pappas, Taeho Lee, Torsten Hoefler, Adrian Perrig
2016	A	`conf`	Scheduling-aware routing for supercomputers. SC Jens Domke, Torsten Hoefler
2016	—	`conf`	Selecting Technical Papers for an Interdisciplinary Conference: The PASC Review Process. PASC Torsten Hoefler
2016	A	`conf`	dCUDA: hardware supported overlap of computation and communication. SC Tobias Gysi, Jeremia Bär, Torsten Hoefler
2015	A	`conf`	Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages. HPDC Maciej Besta, Torsten Hoefler
2015	A	`conf`	Active Access: A Mechanism for High-Performance Distributed Data-Centric Computations. ICS Maciej Besta, Torsten Hoefler
2015	A	`conf`	Cache Line Aware Optimizations for ccNUMA Systems. HPDC Sabela Ramos, Torsten Hoefler
2015	A	`conf`	Cost-effective diameter-two topologies: analysis and evaluation. SC Georgios Kathareios, Cyriel Minkenberg, Bogdan Prisacari, Germán Rodríguez, Torsten Hoefler
2015	A	`conf`	DARE: High-Performance State Machine Replication on RDMA Networks. HPDC Marius Poke, Torsten Hoefler
2015	A	`conf`	Distributing the Data Plane for Remote Storage Access. HotOS Torsten Hoefler, Robert B. Ross, Timothy Roscoe
2015	B	`conf`	Evaluating the Cost of Atomic Operations on Modern Architectures. PACT Hermann Schweizer, Maciej Besta, Torsten Hoefler
2015	A	`conf`	Exascaling Your Library: Will Your Implementation Meet Your Expectations? ICS Sergei Shudler, Alexandru Calotoiu, Torsten Hoefler, Alexandre Strube, Felix Wolf
2015	—	`conf`	Exploiting Offload Enabled Network Interfaces. Hot Interconnects Salvatore Di Girolamo, Pierre Jolivet, Keith D. Underwood, Torsten Hoefler
2015	—	`conf`	HIPS-LSPP Keynotes. IPDPS Workshops Torsten Hoefler, Laxmikant V. Kalé
2015	J	`jnl`	Introduction to the Special Issue on SPAA 2013. ACM Trans. Parallel Comput. Michael Dinitz, Torsten Hoefler
2015	A	`conf`	MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures. ICS Tobias Gysi, Tobias Grosser, Torsten Hoefler
2015	A	`conf`	Notified Access: Extending Remote Memory Access Programming Models for Producer-Consumer Synchronization. IPDPS Roberto Belli, Torsten Hoefler
2015	J	`jnl`	Operating systems and runtime environments on supercomputers. Int. J. High Perform. Comput. Appl. Kamil Iskra, Torsten Hoefler
2015	—	`ed.`	Proceedings of the 5th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2015, Portland, OR, USA, June 16, 2015 ROSS@HPDC Torsten Hoefler, Kamil Iskra
2015	J	`jnl`	Remote Memory Access Programming in MPI-3. ACM Trans. Parallel Comput. Torsten Hoefler, James Dinan, Rajeev Thakur, Brian Barrett, Pavan Balaji, William Gropp, Keith D. Underwood
2015	A	`conf`	Scientific benchmarking of parallel computing systems: twelve ways to tell the masses when reporting performance results. SC Torsten Hoefler, Roberto Belli
2015	—	`conf`	Source-Based Path Selection: The Data Plane Perspective. CFI Taeho Lee, Christos Pappas, Cristina Basescu, Jun Han, Torsten Hoefler, Adrian Perrig
2015	J	`jnl`	Sparse Tensor Algebra as a Parallel Programming Model. CoRR Edgar Solomonik, Torsten Hoefler
2015	B	`conf`	Using Compiler Techniques to Improve Automatic Performance Modeling. PACT Arnamoy Bhattacharyya, Grzegorz Kwasniewski, Torsten Hoefler
2014	J	`jnl`	Application-oriented ping-pong benchmarking: how to assess the real communication overheads. Computing Timo Schneider, Robert Gerstenberger, Torsten Hoefler
2014	B	`conf`	Automatic complexity analysis of explicitly parallel programs. SPAA Torsten Hoefler, Grzegorz Kwasniewski
2014	—	`conf`	Catwalk: A Quick Development Path for Performance Models. Euro-Par Workshops (2) Felix Wolf, Christian H. Bischof, Torsten Hoefler, Bernd Mohr, Gabriel Wittum, Alexandru Calotoiu, Christian Iwainsky, Alexandre Strube, Andreas Vogel
2014	A	`conf`	Designing Bit-Reproducible Portable High-Performance Applications. IPDPS Andrea Arteaga, Oliver Fuhrer, Torsten Hoefler
2014	A	`conf`	Efficient task placement and routing of nearest neighbor exchanges in dragonfly networks. HPDC Bogdan Prisacari, Germán Rodríguez, Philip Heidelberger, Dong Chen, Cyriel Minkenberg, Torsten Hoefler
2014	J	`jnl`	Enabling highly-scalable remote memory access programming with MPI-3 One Sided. Sci. Program. Robert Gerstenberger, Maciej Besta, Torsten Hoefler
2014	J	`jnl`	Energy, Memory, and Runtime Tradeoffs for Implementing Collective Communication Operations. Supercomput. Front. Innov. Torsten Hoefler, Dmitry Moor
2014	—	`conf`	Exploring the effect of noise on the performance benefit of nonblocking allreduce. EuroMPI/ASIA Patrick M. Widener, Kurt B. Ferreira, Scott Levy, Torsten Hoefler
2014	A	`conf`	Fail-in-Place Network Design: Interaction Between Topology, Routing Algorithm and Failures. SC Jens Domke, Torsten Hoefler, Satoshi Matsuoka
2014	A	`conf`	Fault tolerance for remote memory access programming models. HPDC Maciej Besta, Torsten Hoefler
2014	J	`jnl`	Improved MPI collectives for MPI processes in shared address spaces. Clust. Comput. Shigang Li, Torsten Hoefler, Chungjin Hu, Marc Snir
2014	B	`conf`	PEMOGEN: automatic adaptive performance modeling during program runtime. PACT Arnamoy Bhattacharyya, Torsten Hoefler
2014	—	`ed.`	Proceedings of the 4th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2014, Munich, Germany, June 10, 2014 ROSS@ICS Kamil Iskra, Torsten Hoefler
2014	A	`conf`	Slim Fly: A Cost Effective Low-Diameter Network Topology. SC Maciej Besta, Torsten Hoefler
2014	A	`conf`	Understanding the Effects of Communication and Coordination on Checkpointing at Scale. SC Kurt B. Ferreira, Patrick M. Widener, Scott Levy, Dorian C. Arnold, Torsten Hoefler
2013	A	`conf`	Bandwidth-optimal all-to-all exchanges in fat tree networks. ICS Bogdan Prisacari, Germán Rodríguez, Cyriel Minkenberg, Torsten Hoefler
2013	—	`conf`	Compiler Optimizations for Non-contiguous Remote Data Movement. LCPC Timo Schneider, Robert Gerstenberger, Torsten Hoefler
2013	A	`conf`	Enabling highly-scalable remote memory access programming with MPI-3 one sided. SC Robert Gerstenberger, Maciej Besta, Torsten Hoefler
2013	J	`jnl`	Fast pattern-specific routing for fat tree networks. ACM Trans. Archit. Code Optim. Bogdan Prisacari, Germán Rodríguez, Cyriel Minkenberg, Torsten Hoefler
2013	A	`conf`	Hybrid MPI: efficient message passing for multi-core systems. SC Andrew Friedley, Greg Bronevetsky, Torsten Hoefler, Andrew Lumsdaine
2013	J	`jnl`	MPI + MPI: a new hybrid approach to parallel programming with MPI plus shared memory. Computing Torsten Hoefler, James Dinan, Darius Buntinas, Pavan Balaji, Brian Barrett, Ron Brightwell, William Gropp, Vivek Kale, Rajeev Thakur
2013	C	`conf`	MPI datatype processing using runtime compilation. EuroMPI Timo Schneider, Fredrik Kjolstad, Torsten Hoefler
2013	A	`conf`	Modeling communication in cache-coherent SMP systems: a case-study with Xeon Phi. HPDC Sabela Ramos, Torsten Hoefler
2013	A	`conf`	NUMA-aware shared-memory collective communication for MPI. HPDC Shigang Li, Torsten Hoefler, Marc Snir
2013	J	`jnl`	Operating systems and runtime environments on supercomputers. Int. J. High Perform. Comput. Appl. Torsten Hoefler, Kamil Iskra
2013	B	`conf`	Ownership passing: efficient distributed memory programming on multi-core systems. PPoPP Andrew Friedley, Torsten Hoefler, Greg Bronevetsky, Andrew Lumsdaine, Ching-Chen Ma
2013	—	`ed.`	Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2013, Eugene, Oregon, USA, June 10, 2013 ROSS@ICS Torsten Hoefler, Kamil Iskra
2013	B	`conf`	Protocols for Fully Offloaded Collective Operations on Accelerated Network Adapters. ICPP Timo Schneider, Torsten Hoefler, Ryan E. Grant, Brian W. Barrett, Ron Brightwell
2013	—	`conf`	Topic 13: High-Performance Networks and Communication - (Introduction). Euro-Par Olav Lysne, Torsten Hoefler, Pedro López, Davide Bertozzi
2013	—	`conf`	Using Simulation to Evaluate the Performance of Resilience Strategies at Scale. PMBS@SC Scott Levy, Bryan Topp, Kurt B. Ferreira, Dorian C. Arnold, Torsten Hoefler, Patrick M. Widener
2013	A	`conf`	Using automated performance modeling to find scalability bugs in complex codes. SC Alexandru Calotoiu, Torsten Hoefler, Marius Poke, Felix Wolf
2012	—	`conf`	Abstract: Slack-Conscious Lightweight Loop Scheduling for Improving Scalability of Bulk-synchronous MPI Applications. SC Companion Vivek Kale, Todd Gamblin, Torsten Hoefler, Bronis R. de Supinski, William D. Gropp
2012	C	`conf`	Assessing HPC Failure Detectors for MPI Jobs. PDP Kishor Kharbas, Donghoon Kim, Torsten Hoefler, Frank Mueller
2012	B	`conf`	Automatic datatype generation and optimization. PPoPP Fredrik Kjolstad, Torsten Hoefler, Marc Snir
2012	B	`conf`	Communication-centric optimizations by dynamically detecting collective operations. PPoPP Torsten Hoefler, Timo Schneider
2012	C	`conf`	Exact Dependence Analysis for Increased Communication Overlap. EuroMPI Simone Pellegrini, Torsten Hoefler, Thomas Fahringer
2012	J	`jnl`	Extensions for next-generation parallel programming models. Parallel Comput. Torsten Hoefler
2012	C	`conf`	Leveraging MPI's One-Sided Communication Interface for Shared-Memory Programming. EuroMPI Torsten Hoefler, James Dinan, Darius Buntinas, Pavan Balaji, Brian W. Barrett, Ron Brightwell, William Gropp, Vivek Kale, Rajeev Thakur
2012	C	`conf`	Micro-applications for Communication Data Access Patterns and MPI Datatypes. EuroMPI Timo Schneider, Robert Gerstenberger, Torsten Hoefler
2012	C	`conf`	On the Effects of CPU Caches on MPI Point-to-Point Communications. CLUSTER Simone Pellegrini, Torsten Hoefler, Thomas Fahringer
2012	J	`jnl`	Operating systems and runtime environments on supercomputers. Int. J. High Perform. Comput. Appl. Torsten Hoefler, Kamil Iskra
2012	A	`conf`	Optimization principles for collective neighborhood communications. SC Torsten Hoefler, Timo Schneider
2012	B	`conf`	Performance Modeling and Comparative Analysis of the MILC Lattice QCD Application su3_rmd. CCGRID Greg Bauer, Steven Gottlieb, Torsten Hoefler
2012	—	`ed.`	Proceedings of the 2nd International Workshop on Runtime and Operating Systems for Supercomputers, ROSS '12, Venice, Italy, June 29, 2012 ROSS@ICS Torsten Hoefler, Kamil Iskra
2012	B	`conf`	Productive Parallel Linear Algebra Programming with Unstructured Topology Adaption. CCGRID Peter Gottschling, Torsten Hoefler
2012	B	`conf`	Runtime detection and optimization of collective communication patterns. PACT Torsten Hoefler, Timo Schneider
2012	J	`jnl`	Top Picks from Hot Interconnects 2011: Petascale Network Architectures. IEEE Micro Torsten Hoefler, Patrick Geoffray, Fabrizio Petrini, Jesper Larsson Träff
2011	B	`conf`	Active pebbles: a programming model for highly parallel fine-grained data-driven computations. PPoPP Jeremiah Willcock, Torsten Hoefler, Nicholas Gerard Edmonds, Andrew Lumsdaine
2011	A	`conf`	Active pebbles: parallel programming for data-driven applications. ICS Jeremiah Willcock, Torsten Hoefler, Nicholas Gerard Edmonds, Andrew Lumsdaine
2011	A	`conf`	Deadlock-Free Oblivious Routing for Arbitrary Topologies. IPDPS Jens Domke, Torsten Hoefler, Wolfgang E. Nagel
2011	C	`conf`	Design and Evaluation of Nonblocking Collective I/O Operations. EuroMPI Vishwanath Venkatesan, Mohamad Chaarawi, Edgar Gabriel, Torsten Hoefler
2011	A	`conf`	Generic topology mapping strategies for large-scale parallel architectures. ICS Torsten Hoefler, Marc Snir
2011	—	`conf`	HIPS Introduction. IPDPS Workshops Torsten Hoefler
2011	C	`conf`	Kanor - A Declarative Language for Explicit Communication. PADL Eric Holk, William E. Byrd, Jeremiah Willcock, Torsten Hoefler, Arun Chauhan, Andrew Lumsdaine
2011	—	`conf`	Kernel-Based Offload of Collective Operations - Implementation, Evaluation and Lessons Learned. Euro-Par (2) Timo Schneider, Sven Eckelmann, Torsten Hoefler, Wolfgang Rehm
2011	—	`conf`	Methods of creating student cluster competition teams. TG Stephen Lien Harrell, Preston M. Smith, Doug Smith, Torsten Hoefler, Anna A. Labutina, Trinity Overmyer
2011	J	`jnl`	Mpi on millions of Cores. Parallel Process. Lett. Pavan Balaji, Darius Buntinas, David Goodell, William Gropp, Torsten Hoefler, Sameer Kumar, Ewing L. Lusk, Rajeev Thakur, Jesper Larsson Träff
2011	C	`conf`	Performance Expectations and Guidelines for MPI Derived Datatypes. EuroMPI William Gropp, Torsten Hoefler, Rajeev Thakur, Jesper Larsson Träff
2011	—	`conf`	Performance modeling for systematic performance tuning. SC State of the Practice Reports Torsten Hoefler, William Gropp, William Kramer, Marc Snir
2011	J	`jnl`	The scalable process topology interface of MPI 2.2. Concurr. Comput. Pract. Exp. Torsten Hoefler, Rolf Rabenseifner, Hubert Ritzdorf, Bronis R. de Supinski, Rajeev Thakur, Jesper Larsson Träff
2011	C	`conf`	Writing Parallel Libraries with MPI - Common Practice, Issues, and Extensions. EuroMPI Torsten Hoefler, Marc Snir
2010	Misc	`conf`	A space-efficient parallel algorithm for computing betweenness centrality in distributed memory. HiPC Nick Edmonds, Torsten Hoefler, Andrew Lumsdaine
2010	B	`conf`	AM++: a generalized active message framework. PACT Jeremiah Willcock, Torsten Hoefler, Nicholas Gerard Edmonds, Andrew Lumsdaine
2010	J	`jnl`	Accurately measuring overhead, communication time and progression of blocking and nonblocking collective operations at massive scale. Int. J. Parallel Emergent Distributed Syst. Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2010	—	`conf`	Bridging Performance Analysis Tools and Analytic Performance Modeling for HPC. Euro-Par Workshops Torsten Hoefler
2010	A	`conf`	Characterizing the Influence of System Noise on Large-Scale Applications by Simulation. SC Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2010	C	`conf`	Efficient MPI Support for Advanced Hybrid Programming Models. EuroMPI Torsten Hoefler, Greg Bronevetsky, Brian Barrett, Bronis R. de Supinski, Andrew Lumsdaine
2010	A	`conf`	LogGOPSim: simulating large-scale applications in the LogGOPS model. HPDC Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2010	C	`conf`	Parallel Zero-Copy Algorithms for Fast Fourier Transform and Conjugate Gradient Using MPI Datatypes. EuroMPI Torsten Hoefler, Steven Gottlieb
2010	B	`conf`	Scalable communication protocols for dynamic sparse data exchange. PPoPP Torsten Hoefler, Christian Siebert, Andrew Lumsdaine
2010	J	`jnl`	Software and Hardware Techniques for Power-Efficient HPC Networking. Comput. Sci. Eng. Torsten Hoefler
2010	—	`conf`	The PERCS High-Performance Interconnect. Hot Interconnects L. Baba Arimilli, Ravi Arimilli, Vicente Chung, Scott Clark, Wolfgang E. Denzel, Ben C. Drerup, Torsten Hoefler, Jody B. Joyner, Jerry Lewis, Jian Li, Nan Ni, Ramakrishnan Rajamony
2010	C	`conf`	Toward Performance Models of MPI Implementations for Understanding Application Scaling Issues. EuroMPI Torsten Hoefler, William Gropp, Rajeev Thakur, Jesper Larsson Träff
2009	A	`conf`	A power-aware, application-based performance study of modern commodity cluster interconnection networks. IPDPS Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2009	Misc	`conf`	Demand-driven execution of static directed acyclic graphs using task parallelism. HiPC Prabhanjan Kambadur, Anshul Gupta, Torsten Hoefler, Andrew Lumsdaine
2009	B	`conf`	Group Operation Assembly Language - A Flexible Way to Express Collective Communication. ICPP Torsten Hoefler, Christian Siebert, Andrew Lumsdaine
2009	A	`conf`	Implementation and analysis of nonblocking collective operations on SCI networks. IPDPS Christian Kaiser, Torsten Hoefler, Boris Bierbaum, Thomas Bemmerl
2009	J	`jnl`	LogGP in theory and practice - An in-depth analysis of modern interconnection networks and benchmarking methods for collective operations. Simul. Model. Pract. Theory Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2009	—	`conf`	Optimized Routing for Large-Scale InfiniBand Networks. Hot Interconnects Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2009	A	`conf`	Sparse collective operations for MPI. IPDPS Torsten Hoefler, Jesper Larsson Träff
2009	J	`jnl`	The Effect of Network Noise on Large-Scale Collective Communications. Parallel Process. Lett. Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2009	A	`conf`	The impact of network noise at large-scale communication performance. IPDPS Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2009	—	`conf`	Towards Efficient MapReduce Using MPI. PVM/MPI Torsten Hoefler, Andrew Lumsdaine, Jack J. Dongarra
2008	A	`conf`	Accurately measuring collective operations at massive scale. IPDPS Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2008	—	`conf`	Adaptive Routing Strategies for Modern High Performance Networks. Hot Interconnects Patrick Geoffray, Torsten Hoefler
2008	—	`conf`	An Optimized ZGEMM Implementation for the Cell BE. PASA Timo Schneider, Torsten Hoefler, Simon Wunderlich, Torsten Mehlan, Wolfgang Rehm
2008	—	`conf`	Communication Optimization for Medical Image Reconstruction Algorithms. PVM/MPI Torsten Hoefler, Maraike Schellmann, Sergei Gorlatch, Andrew Lumsdaine
2008	B	`conf`	Leveraging non-blocking collective communication in high-performance applications. SPAA Torsten Hoefler, Peter Gottschling, Andrew Lumsdaine
2008	C	`conf`	Message progression in parallel computing - to thread or not to thread? CLUSTER Torsten Hoefler, Andrew Lumsdaine
2008	C	`conf`	Multistage switches are not crossbars: Effects of static routing in high-performance networks. CLUSTER Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
2008	A	`conf`	Optimizing non-blocking collective operations for infiniband. IPDPS Torsten Hoefler, Andrew Lumsdaine
2008	B	`conf`	Overlapping Communication and Computation with High Level Communication Routines. CCGRID Torsten Hoefler, Andrew Lumsdaine
2008	—	`conf`	Sparse Non-blocking Collectives in Quantum Mechanical Calculations. PVM/MPI Torsten Hoefler, Florian Lorenzen, Andrew Lumsdaine
2007	—	`conf`	A Case for Standard Non-blocking Collective Operations. PVM/MPI Torsten Hoefler, Prabhanjan Kambadur, Richard L. Graham, Galen M. Shipman, Andrew Lumsdaine
2007	A	`conf`	A practically constant-time MPI Broadcast Algorithm for large-scale InfiniBand Clusters with Multicast. IPDPS Torsten Hoefler, Christian Siebert, Wolfgang Rehm
2007	A	`conf`	Implementation and performance analysis of non-blocking collective operations for MPI. SC Torsten Hoefler, Andrew Lumsdaine, Wolfgang Rehm
2007	A	`conf`	Low-Overhead LogGP Parameter Assessment for Modern Interconnection Networks. IPDPS Torsten Hoefler, Andre Lichei, Wolfgang Rehm
2007	C	`conf`	Netgauge: A Network Performance Measurement Framework. HPCC Torsten Hoefler, Torsten Mehlan, Andrew Lumsdaine, Wolfgang Rehm
2007	J	`jnl`	Optimizing a conjugate gradient solver with non-blocking collective operations. Parallel Comput. Torsten Hoefler, Peter Gottschling, Andrew Lumsdaine, Wolfgang Rehm
2006	—	`conf`	A Case for Non-blocking Collective Operations. ISPA Workshops Torsten Hoefler, Jeffrey M. Squyres, Wolfgang Rehm, Andrew Lumsdaine
2006	—	`conf`	Adding Low-Cost Hardware Barrier Support to Small Commodity Clusters. ARCS Workshops Torsten Hoefler, Torsten Mehlan, Frank Mietke, Wolfgang Rehm
2006	—	`conf`	Analysis of the Memory Registration Process in the Mellanox InfiniBand Software Stack. Euro-Par Frank Mietke, Robert Rex, Robert Baumgartl, Torsten Mehlan, Torsten Hoefler, Wolfgang Rehm
2006	—	`conf`	Assessing Single-Message and Multi-Node Communication Performance of InfiniBand. PARELEC Torsten Hoefler, Carsten Viertel, Torsten Mehlan, Frank Mietke, Wolfgang Rehm
2006	A	`conf`	Fast barrier synchronization for InfiniBand™. IPDPS Torsten Hoefler, Torsten Mehlan, Frank Mietke, Wolfgang Rehm
2006	—	`conf`	IRS - A Portable Interface for Reconfigurable Systems. PARELEC Torsten Mehlan, Jochen Strunk, Torsten Hoefler, Frank Mietke, Wolfgang Rehm
2006	A	`conf`	LogfP - a model for small messages in InfiniBand. IPDPS Torsten Hoefler, Torsten Mehlan, Frank Mietke, Wolfgang Rehm
2006	—	`conf`	Optimizing a Conjugate Gradient Solver with Non-Blocking Collective Operations. PVM/MPI Torsten Hoefler, Peter Gottschling, Wolfgang Rehm, Andrew Lumsdaine
2005	—	`conf`	A Practical Approach to the Rating of Barrier Algorithms Using the LogP Model and Open MPI. ICPP Workshops Torsten Hoefler, Lavinio Cerquetti, Torsten Mehlan, Frank Mietke, Wolfgang Rehm