Nathan R. Tallent

88 papers A* 3A 16B 11C 7Journal 27Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems. CoRR Md. Hasanur Rashid, Nathan R. Tallent, Forrest Sheng Bao, Dong Dai
2026	J	`jnl`	LLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models. CoRR Minqiu Sun, Xin Huang, Luanzheng Guo, Nathan R. Tallent, Kento Sato, Dong Dai
2026	A*	`conf`	Order-Preserving Dimension Reduction for Multimodal Semantic Embedding. AAAI Chengyu Gong, Gefei Shen, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2026	J	`jnl`	QoSFlow: Ensuring Service Quality of Distributed Workflows Using Interpretable Sensitivity Models. CoRR Md. Hasanur Rashid, Jesun Firoz, Nathan R. Tallent, Luanzheng Guo, Meng Tang, Dong Dai
2026	J	`jnl`	Rudder: Steering Prefetching in Distributed GNN Training using LLM Agents. CoRR Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Aman Chadha, Tanya G. Roosta, Ali Jannesari
2026	J	`jnl`	SCOPE: Semantic Coreset with Orthogonal Projection Embeddings for Federated learning. CoRR Md. Anwar Hossen, Nathan R. Tallent, Luanzheng Guo, Ali Jannesary
2025	A	`conf`	BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. ICS Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao
2025	—	`conf`	Exploration of LLM Lossless Compression on Scientific Data. IPDPS (Workshops) Max H. Faykus, Luanzheng Guo, Rizwan A. Ashraf, Jan Strube, Jon C. Calhoun, Nathan R. Tallent
2025	B	`conf`	FastFlow: Rapid Workflow Response By Prioritizing Critical Data Flows and their Interactions. SSDBM Jesun Sahariar Firoz, Hyungro Lee, Luanzheng Guo, Meng Tang, Nathan R. Tallent, Zhen Peng
2025	A	`conf`	FlowForecaster: Automatically Inferring Detailed & Interpretable Workflow Scaling Models for Forecasts. IPDPS Hyungro Lee, Jesun Firoz, Nathan R. Tallent, Luanzheng Guo, Mahantesh Halappanavar
2025	B	`conf`	High-performance Visual Semantics Compression for AI-Driven Science. PPoPP Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao
2025	J	`jnl`	HybHuff: Lossless Compression for Hypergraphs via Entropy-Guided Huffman-Bitwise Coordination. CoRR Tianyu Zhao, Dongfang Zhao, Luanzheng Guo, Nathan R. Tallent
2025	—	`conf`	LLMTailor: A Layer-wise Tailoring Tool for Efficient Checkpointing of Large Language Models. SC Workshops Minqiu Sun, Xin Huang, Luanzheng Guo, Nathan R. Tallent, Kento Sato, Dong Dai
2025	A	`conf`	Locality Aware Process Remapping for Distributed-Memory Graph Workloads. IPDPS Md Nahid Newaz, Sayan Ghosh, Nathan R. Tallent, Guangzhi Qu
2025	J	`jnl`	On The Reproducibility Limitations of RAG Systems. CoRR Baiqiang Wang, Dongfang Zhao, Nathan R. Tallent, Luanzheng Guo
2025	—	`conf`	PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training. SoCC Talha Mehboob, Luanzheng Guo, Nathan R. Tallent, Michael Zink, David Irwin
2025	J	`jnl`	PowerTrip: Exploiting Federated Heterogeneous Datacenter Power for Distributed ML Training. CoRR Talha Mehboob, Luanzheng Guo, Nathan R. Tallent, Michael Zink, David Irwin
2025	A*	`conf`	ProHD: Projection-Based Hausdorff Distance Approximation. ICDM Jiuzhou Fu, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2025	J	`jnl`	ProHD: Projection-Based Hausdorff Distance Approximation. CoRR Jiuzhou Fu, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2025	—	`conf`	Quantifying AWS S3 I/O Performance Boundaries Using the Roofline Model. SC Workshops Meng Tang, Zhaobin Zhu, Luanzheng Guo, James G. Bandy, Tim Carlson, Sarah Neuwirth, Anthony Kougkas, Xian-He Sun, Nathan R. Tallent
2025	J	`jnl`	SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization. CoRR Waqwoya Abebe, Sadegh Jafari, Sixing Yu, Akash Dutta, Jan Strube, Nathan R. Tallent, Luanzheng Guo, J. Pablo Muñoz, Ali Jannesari
2024	B	`conf`	Automatic Extraction of Network Configurations for Realistic Simulation and Validation. ISPASS Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Ryan D. Friese, Nathan R. Tallent, Kevin J. Barker, Timothy Stavenger
2024	C	`conf`	DaYu: Optimizing Distributed Scientific Workflows by Decoding Dataflow Semantics and Dynamics. CLUSTER Meng Tang, Jaime Cernuda, Jie Ye, Luanzheng Guo, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun
2024	J	`jnl`	Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security. CoRR Nathan R. Tallent, Jan Strube, Luanzheng Guo, Hyungro Lee, Jesun Firoz, Sayan Ghosh, Bo Fang, Oceane Bel, Steven R. Spurgeon, Sarah Akers, Christina Doty, Erol Cromwell
2024	A	`conf`	Graph Analytics on Jellyfish topology. IPDPS Md Nahid Newaz, Sayan Ghosh, Joshua Suetterlein, Nathan R. Tallent, Md Atiqul Mollah, Ming Hua
2024	—	`conf`	HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters. HPEC Joshua Suetterlein, Stephen J. Young, Jesun Firoz, Joseph B. Manzano, Nathan R. Tallent, Ryan D. Friese, Kevin J. Barker, Timothy Stavenger
2024	B	`conf`	Identifying Outliers in AI-based Image Compression. IEEE Big Data Rizwan A. Ashraf, Luanzheng Guo, Hyungro Lee, Nathan R. Tallent
2024	B	`conf`	Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off Analysis. IEEE Big Data Luanzheng Guo, Meng Tang, Hyungro Lee, Jesun Firoz, Nathan R. Tallent
2024	C	`conf`	MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. CLUSTER Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari
2024	J	`jnl`	MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs. CoRR Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari
2024	—	`conf`	MemFriend: Understanding Memory Performance with Spatial-Temporal Affinity. MEMSYS Yasodha Suriyakumar, Nathan R. Tallent, Andres Marquez, Karen L. Karavanic, Ozgur O. Kilic
2024	J	`jnl`	OPDR: Order-Preserving Dimension Reduction for Semantic Embedding of Multimodal Scientific Data. CoRR Chengyu Gong, Gefei Shen, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2024	J	`jnl`	Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. CoRR Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Nathan R. Tallent, Guangming Tan, Dingwen Tao
2024	C	`conf`	Performance Analysis of Data Processing in Distributed File Systems with Near Data Processing. ISNCC Shiyue Hou, Nathan R. Tallent, Li Wang, Ningfang Mi
2024	J	`jnl`	SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari
2024	—	`conf`	Shifting Between Compute and Memory Bounds: A Compression-Enabled Roofline Model. SC Workshops Ramasoumya Naraparaju, Tianyu Zhao, Yanting Hu, Dongfang Zhao, Luanzheng Guo, Nathan R. Tallent
2024	—	`conf`	Understanding and Predicting Cross-Application I/O Interference in HPC Storage Systems. SC Workshops Chris Egersdoerfer, Md. Hasanur Rashid, Dong Dai, Bo Fang, Nathan R. Tallent
2024	J	`jnl`	Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso-Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A. Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent
2023	J	`jnl`	Accelerating matrix-centric graph processing on GPUs through bit-level optimizations. J. Parallel Distributed Comput. Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
2023	A	`conf`	Data Flow Lifecycles for Optimizing Workflow Coordination. SC Hyungro Lee, Luanzheng Guo, Meng Tang, Jesun Firoz, Nathan R. Tallent, Anthony Kougkas, Xian-He Sun
2022	A	`conf`	Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. IPDPS Jou-An Chen, Hsin-Hsuan Sung, Xipeng Shen, Nathan R. Tallent, Kevin J. Barker, Ang Li
2022	J	`jnl`	Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU. CoRR Jou-An Chen, Hsin-Hsuan Sung, Nathan R. Tallent, Kevin J. Barker, Xipeng Shen, Ang Li
2022	J	`jnl`	Characterizing Performance of Graph Neighborhood Communication Patterns. IEEE Trans. Parallel Distributed Syst. Sayan Ghosh, Nathan R. Tallent, Mahantesh Halappanavar
2022	C	`conf`	MemGaze: Rapid and Effective Load-Level Memory Trace Analysis. CLUSTER Ozgur O. Kilic, Nathan R. Tallent, Yasodha Suriyakumar, Chenhao Xie, Andrés Márquez, Stéphane Eranian
2022	—	`conf`	QuaL IPDPS Workshops Arun V. Sathanur, Nathan R. Tallent, Patrick Konsor, Ken Koyanagi, Ryan McLaughlin, Joseph Olivas, Michael Chynoweth
2022	B	`conf`	ReWorDs 2022 Keynote: Towards Orchestrating Distributed & Data-Intensive Workflows. e-Science Nathan R. Tallent
2021	—	`conf`	Diolkos: improving ethernet throughput through dynamic port selection. CF Oceane Bel, Joosep Pata, Jean-Roch Vlimant, Nathan R. Tallent, Justas Balcas, Maria Spiropulu
2021	J	`jnl`	EXAGRAPH: Graph and combinatorial methods for enabling exascale applications. Int. J. High Perform. Comput. Appl. Seher Acer, Ariful Azad, Erik G. Boman, Aydin Buluç, Karen D. Devine, S. M. Ferdous, Nitin Gawande, Sayan Ghosh, Mahantesh Halappanavar, Ananth Kalyanaraman, Arif Khan, Marco Minutoli, Alex Pothen, Sivasankaran Rajamanickam, Oguz Selvitopi, Nathan R. Tallent, Antonino Tumeo
2021	A	`conf`	Single-node partitioned-memory for huge graph analytics: cost and performance trade-offs. SC Sayan Ghosh, Nathan R. Tallent, Marco Minutoli, Mahantesh Halappanavar, Ramesh Peri, Ananth Kalyanaraman
2021	—	`conf`	WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling. IEEE BigData Oceane Bel, Sinjoni Mukhopadhyay, Nathan R. Tallent, Faisal Nawab, Darrell D. E. Long
2020	—	`conf`	Effectively Using Remote I/O For Work Composition in Distributed Workflows. IEEE BigData Ryan D. Friese, Burcu Ozcelik Mutlu, Nathan R. Tallent, Joshua Suetterlein, Jan Strube
2020	J	`jnl`	Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Trans. Parallel Distributed Syst. Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2020	B	`conf`	Geomancy: Automated Performance Enhancement through Data Layout Optimization. ISPASS Oceane Bel, Kenneth Chang, Nathan R. Tallent, Dirk Düllmann, Ethan L. Miller, Faisal Nawab, Darrell D. E. Long
2020	B	`conf`	Rapid Memory Footprint Access Diagnostics. ISPASS Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
2020	J	`jnl`	Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Gener. Comput. Syst. Nitin A. Gawande, Jeff A. Daily, Charles Siegel, Nathan R. Tallent, Abhinav Vishnu
2020	—	`conf`	Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation. IISWC Reet Barik, Marco Minutoli, Mahantesh Halappanavar, Nathan R. Tallent, Ananth Kalyanaraman
2019	J	`jnl`	Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. CoRR Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2019	C	`conf`	Rapidly Measuring Loop Footprints. CLUSTER Ozgur O. Kilic, Nathan R. Tallent, Ryan D. Friese
2019	—	`conf`	TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. IEEE BigData Joshua Suetterlein, Ryan D. Friese, Nathan R. Tallent, Malachi Schram
2018	—	`conf`	Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent
2018	C	`conf`	Optimizing Distributed Data-Intensive Workflows. CLUSTER Ryan D. Friese, Nathan R. Tallent, Malachi Schram, Mahantesh Halappanavar, Kevin J. Barker
2018	C	`conf`	Stochastic Programming Approach for Resource Selection Under Demand Uncertainty. JSSPP Tanveer Hossain Bhuiyan, Mahantesh Halappanavar, Ryan D. Friese, Hugh R. Medal, Luis de la Torre, Arun V. Sathanur, Nathan R. Tallent
2018	—	`conf`	Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. IISWC Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan R. Tallent, Kevin J. Barker
2017	—	`conf`	Evaluating On-Node GPU Interconnects for Deep Learning Workloads. PMBS@SC Nathan R. Tallent, Nitin A. Gawande, Charles Siegel, Abhinav Vishnu, Adolfy Hoisie
2017	A	`conf`	Generating Performance Models for Irregular Applications. IPDPS Ryan D. Friese, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson, Adolfy Hoisie
2017	A	`conf`	Representative paths analysis. SC Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
2017	—	`conf`	Scaling Deep Learning Workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. IPDPS Workshops Nitin A. Gawande, Joshua B. Landwehr, Jeff A. Daily, Nathan R. Tallent, Abhinav Vishnu, Darren J. Kerbyson
2016	A	`conf`	Algorithm and Architecture Independent Benchmarking with SEAK. IPDPS Nathan R. Tallent, Joseph B. Manzano, Nitin A. Gawande, Seunghwa Kang, Darren J. Kerbyson, Adolfy Hoisie, Joseph K. Cross
2016	—	`conf`	Assessing Advanced Technology in CENATE. NAS Nathan R. Tallent, Kevin J. Barker, Roberto Gioiosa, Andrés Márquez, Gokcen Kestor, Leon Song, Antonino Tumeo, Darren J. Kerbyson, Adolfy Hoisie
2016	A	`conf`	Fault Modeling of Extreme Scale Applications Using Machine Learning. IPDPS Abhinav Vishnu, Hubertus Van Dam, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
2016	—	`conf`	Modeling the Impact of Silicon Photonics on Graph Analytics. NAS Nathan R. Tallent, Kevin J. Barker, Daniel G. Chavarría-Miranda, Antonino Tumeo, Mahantesh Halappanavar, Andrés Márquez, Darren J. Kerbyson, Adolfy Hoisie
2015	A	`conf`	A case for application-oblivious energy-efficient MPI runtime. SC Akshay Venkatesh, Abhinav Vishnu, Khaled Hamidouche, Nathan R. Tallent, Dhabaleswar K. Panda, Darren J. Kerbyson, Adolfy Hoisie
2015	B	`conf`	Diagnosing the causes and severity of one-sided message contention. PPoPP Nathan R. Tallent, Abhinav Vishnu, Hubertus Van Dam, Jeff Daily, Darren J. Kerbyson, Adolfy Hoisie
2015	—	`conf`	Power and performance trade-offs for Space Time Adaptive Processing. ASAP Nitin A. Gawande, Joseph B. Manzano, Antonino Tumeo, Nathan R. Tallent, Darren J. Kerbyson, Adolfy Hoisie
2015	—	`conf`	Towards efficient scheduling of data intensive high energy physics workflows. WORKS@SC Mahantesh Halappanavar, Malachi Schram, Luis de la Torre, Kevin J. Barker, Nathan R. Tallent, Darren J. Kerbyson
2014	A	`conf`	Palm: easing the burden of analytical performance modeling. ICS Nathan R. Tallent, Adolfy Hoisie
2011	A	`conf`	Scalable fine-grained call path tracing. ICS Nathan R. Tallent, John M. Mellor-Crummey, Michael Franco, Reed Landrum, Laksono Adhianto
2011	—	`conf`	Using Sampling to Understand Parallel Program Performance. Parallel Tools Workshop Nathan R. Tallent, John M. Mellor-Crummey
2010	B	`conf`	Analyzing lock contention in multithreaded applications. PPoPP Nathan R. Tallent, John M. Mellor-Crummey, Allan Porterfield
2010	—	`conf`	Effectively Presenting Call Path Profiles of Application Performance. ICPP Workshops Laksono Adhianto, John M. Mellor-Crummey, Nathan R. Tallent
2010	J	`jnl`	HPCTOOLKIT: tools for performance analysis of optimized parallel programs. Concurr. Comput. Pract. Exp. Laksono Adhianto, S. Banerjee, Michael W. Fagan, Mark Krentel, Gabriel Marin, John M. Mellor-Crummey, Nathan R. Tallent
2010	A	`conf`	Scalable Identification of Load Imbalance in Parallel Executions Using Call Path Profiles. SC Nathan R. Tallent, Laksono Adhianto, John M. Mellor-Crummey
2009	A*	`conf`	Binary analysis for measurement and attribution of program performance. PLDI Nathan R. Tallent, John M. Mellor-Crummey, Michael W. Fagan
2009	A	`conf`	Diagnosing performance bottlenecks in emerging petascale applications. SC Nathan R. Tallent, John M. Mellor-Crummey, Laksono Adhianto, Michael W. Fagan, Mark Krentel
2009	B	`conf`	Effective performance measurement and analysis of multithreaded applications. PPoPP Nathan R. Tallent, John M. Mellor-Crummey
2009	J	`jnl`	Identifying Performance Bottlenecks in Work-Stealing Computations. Computer Nathan R. Tallent, John M. Mellor-Crummey
2008	J	`jnl`	OpenAD/F: A Modular Open-Source Tool for Automatic Differentiation of Fortran Codes. ACM Trans. Math. Softw. Jean Utke, Uwe Naumann, Michael W. Fagan, Nathan R. Tallent, Michelle Mills Strout, Patrick Heimbach, Chris Hill, Carl Wunsch
2002	J	`jnl`	HPCVIEW: A Tool for Top-down Analysis of Node Performance. J. Supercomput. John M. Mellor-Crummey, Robert J. Fowler, Gabriel Marin, Nathan R. Tallent