| 2020 | 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, May 18-22, 2020 |
| 2020 | A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. Yu Huang, Long Zheng, Pengcheng Yao, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2020 | A High-Throughput Solver for Marginalized Graph Kernels on GPU. Yu-Hang Tang, Oguz Selvitopi, Doru-Thom Popovici, Aydin Buluç |
| 2020 | A Highly Efficient Dynamical Core of Atmospheric General Circulation Model based on Leap-Format. Hang Cao, Liang Yuan, He Zhang, Baodong Wu, Shigang Li, Pengqi Lu, Yunquan Zhang, Yongjun Xu, Minghua Zhang |
| 2020 | A Scheduling Approach to Incremental Maintenance of Datalog Programs. Shikha Singh, Sergey Madaminov, Michael A. Bender, Michael Ferdman, Ryan Johnson, Benjamin Moseley, Hung Q. Ngo, Dung Nguyen, Soeren Olesen, Kurt Stirewalt, Geoffrey Washburn |
| 2020 | A Self-Optimized Generic Workload Prediction Framework for Cloud Computing. Vinodh Kumaran Jayakumar, Jaewoo Lee, In Kee Kim, Wei Wang |
| 2020 | A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. Vishwesh Jatala, Roshan Dathathri, Gurbinder Gill, Loc Hoang, V. Krishna Nandivada, Keshav Pingali |
| 2020 | A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs. Lingqi Zhang, Mohamed Wahib, Haoyu Zhang, Satoshi Matsuoka |
| 2020 | ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning. Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi |
| 2020 | Aarohi: Making Real-Time Node Failure Prediction Feasible. Anwesha Das, Frank Mueller, Barry Rountree |
| 2020 | Accelerated Reply Injection for Removing NoC Bottleneck in GPGPUs. Yunfan Li, Lizhong Chen |
| 2020 | Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling. Lucas Erlandson, Difeng Cai, Yuanzhe Xi, Edmond Chow |
| 2020 | Adaptive Page Migration for Irregular Data-intensive Applications under GPU Memory Oversubscription. Debashis Ganguly, Ziyu Zhang, Jun Yang, Rami G. Melhem |
| 2020 | Amoeba: QoS-Awareness and Reduced Resource Usage of Microservices with Serverless Computing. Zijun Li, Quan Chen, Shuai Xue, Tao Ma, Yong Yang, Zhuo Song, Minyi Guo |
| 2020 | An Active Learning Method for Empirical Modeling in Performance Tuning. Jiepeng Zhang, Jingwei Sun, Wenju Zhou, Guangzhong Sun |
| 2020 | Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources. Lionel Eyraud-Dubois, Suraj Kumar |
| 2020 | AnySeq: A High Performance Sequence Alignment Library based on Partial Evaluation. André Müller, Bertil Schmidt, Andreas Hildebrandt, Richard Membarth, Roland Leißa, Matthis Kruse, Sebastian Hack |
| 2020 | Argus: Multi-Level Service Visibility Scoping for Internet-of-Things in Enterprise Environments. Qian Zhou, Omkant Pandey, Fan Ye |
| 2020 | Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization. Harshitha Menon, Abhinav Bhatele, Todd Gamblin |
| 2020 | Bandwidth-Aware Page Placement in NUMA. David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov |
| 2020 | Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu |
| 2020 | Busy-Time Scheduling on Heterogeneous Machines. Runtian Ren, Xueyan Tang |
| 2020 | Byzantine Generalized Lattice Agreement. Giuseppe Antonio Di Luna, Emmanuelle Anceaume, Leonardo Querzoni |
| 2020 | CanarIO: Sounding the Alarm on IO-Related Performance Degradation. Michael R. Wyatt II, Stephen Herbein, Kathleen Shoga, Todd Gamblin, Michela Taufer |
| 2020 | ClusterSR: Cluster-Aware Scattered Repair in Erasure-Coded Storage. Zhirong Shen, Jiwu Shu, Zhijie Huang, Yingxun Fu |
| 2020 | Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik |
| 2020 | Communication-Efficient String Sorting. Timo Bingmann, Peter Sanders, Matthias Schimek |
| 2020 | ConMidbox: Consolidated Middleboxes Selection and Routing in SDN/NFV-Enabled Networks. Guiyan Liu, Songtao Guo, Pan Li, Liang Liu |
| 2020 | Coordinated Management of Processor Configuration and Cache Partitioning to Optimize Energy under QoS Constraints. Mehrzad Nejat, Madhavan Manivannan, Miquel Pericàs, Per Stenström |
| 2020 | Coordinated Page Prefetch and Eviction for Memory Oversubscription Management in GPUs. Qi Yu, Bruce R. Childers, Libo Huang, Cheng Qian, Hui Guo, Zhiying Wang |
| 2020 | CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding. Mengqian Zhang, Jichen Li, Zhaohua Chen, Hongyin Chen, Xiaotie Deng |
| 2020 | DAG-Aware Joint Task Scheduling and Cache Management in Spark Clusters. Yinggen Xu, Liu Liu, Zhijun Ding |
| 2020 | DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection. Bin Dong, Verónica Rodríguez Tribaldos, Xin Xing, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu |
| 2020 | DELTA: Distributed Locality-Aware Cache Partitioning for Tile-based Chip Multiprocessors. Nadja Holtryd, Madhavan Manivannan, Per Stenström, Miquel Pericàs |
| 2020 | DPF-ECC: Accelerating Elliptic Curve Cryptography with Floating-Point Computing Power of GPUs. Lili Gao, Fangyu Zheng, Niall Emmart, Jiankuo Dong, Jingqiang Lin, Charles C. Weems |
| 2020 | Data Collection of IoT Devices Using an Energy-Constrained UAV. Yuchen Li, Weifa Liang, Wenzheng Xu, Xiaohua Jia |
| 2020 | Demystifying Tensor Cores to Optimize Half-Precision Matrix Multiply. Da Yan, Wei Wang, Xiaowen Chu |
| 2020 | Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale |
| 2020 | Distributed Graph Realizations †. John Augustine, Keerti Choudhary, Avi Cohen, David Peleg, Sumathi Sivasubramaniam, Suman Sourav |
| 2020 | DozzNoC: Reducing Static and Dynamic Energy in NoCs with Low-latency Voltage Regulators using Machine Learning. Mark Clark, Yingping Chen, Avinash Karanth, Dongsheng Brian Ma, Ahmed Louri |
| 2020 | Dynamic Graphs on the GPU. Muhammad A. Awad, Saman Ashkiani, Serban D. Porumbescu, John D. Owens |
| 2020 | Dynamic Scheduling in Distributed Transactional Memory. Costas Busch, Maurice Herlihy, Miroslav Popovic, Gokarna Sharma |
| 2020 | EC-Fusion: An Efficient Hybrid Erasure Coding Framework to Improve Both Application and Recovery Performance in Cloud Storage Systems. Han Qiu, Chentao Wu, Jie Li, Minyi Guo, Tong Liu, Xubin He, Yuanyuan Dong, Yafei Zhao |
| 2020 | ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization. Gregory D. Abram, Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens |
| 2020 | EdgeIso: Effective Performance Isolation for Edge Devices. Yoonsung Nam, YongJun Choi, Byeonghun Yoo, Hyeonsang Eom, Yongseok Son |
| 2020 | Efficient I/O for Neural Network Training with Compressed Data. Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster |
| 2020 | Efficient Parallel and Adaptive Partitioning for Load-balancing in Spatial Join. Jie Yang, Satish Puri |
| 2020 | Engineering Worst-Case Inputs for Pairwise Merge Sort on GPUs. Kyle Berney, Nodari Sitchinava |
| 2020 | Evaluating Thread Coarsening and Low-cost Synchronization on Intel Xeon Phi. Hancheng Wu, Michela Becchi |
| 2020 | Evaluating the Numerical Stability of Posit Arithmetic. Nicholas Buoncristiani, Sanjana Shah, David Donofrio, John Shalf |
| 2020 | Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning. Yufeng Zhan, Peng Li, Song Guo |
| 2020 | Exploring the Binary Precision Capabilities of Tensor Cores for Epistasis Detection. Ricardo Nobre, Aleksandar Ilic, Sergio Santander-Jiménez, Leonel Sousa |
| 2020 | FP4S: Fragment-based Parallel State Recovery for Stateful Stream Applications. Pinchao Liu, Hailu Xu, Dilma Da Silva, Qingyang Wang, Sarker Tanzir Ahmed, Liting Hu |
| 2020 | FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello |
| 2020 | Fault-Tolerant Containers Using NiLiCon. Diyu Zhou, Yuval Tamir |
| 2020 | FlashKey: A High-Performance Flash Friendly Key-Value Store. Madhurima Ray, Krishna Kant, Peng Li, Sanjeev Trika |
| 2020 | G-PBFT: A Location-based and Scalable Consensus Protocol for IoT-Blockchain Applications. Laphou Lao, Xiaohai Dai, Bin Xiao, Songtao Guo |
| 2020 | GPU-Based Static Data-Flow Analysis for Fast and Scalable Android App Vetting. Xiaodong Yu, Fengguo Wei, Xinming Ou, Michela Becchi, Tekin Bicer, Danfeng Daphne Yao |
| 2020 | HCompress: Hierarchical Data Compression for Multi-Tiered Storage Environments. Hariharan Devarajan, Anthony Kougkas, Luke Logan, Xian-He Sun |
| 2020 | HFetch: Hierarchical Data Prefetching for Scientific Workflows in Multi-Tiered Storage Environments. Hariharan Devarajan, Anthony Kougkas, Xian-He Sun |
| 2020 | Harnessing Deep Learning via a Single Building Block. Evangelos Georganas, Kunal Banerjee, Dhiraj D. Kalamkar, Sasikanth Avancha, Anand Venkat, Michael J. Anderson, Greg Henry, Hans Pabst, Alexander Heinecke |
| 2020 | Implementation and Evaluation of a Hardware Decentralized Synchronization Lock for MPSoCs. Maxime France-Pillois, Jérôme Martin, Frédéric Rousseau |
| 2020 | Improved Intermediate Data Management for MapReduce Frameworks. Haoyu Wang, Haiying Shen, Charles Reiss, Arnim Jain, Yunqiao Zhang |
| 2020 | Improving Transactional Code Generation via Variable Annotation and Barrier Elision. João P. L. de Carvalho, Bruno C. Honorio, Alexandro Baldassin, Guido Araujo |
| 2020 | Inter-Job Scheduling of High-Throughput Material Screening Applications. Zhihui Du, Xinning Hui, Yurui Wang, Jun Jiang, Jason Liu, Baokun Lu, Chongyu Wang |
| 2020 | LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment. Alberto Zeni, Giulia Guidi, Marquita Ellis, Nan Ding, Marco D. Santambrogio, Steven A. Hofmeyr, Aydin Buluç, Leonid Oliker, Katherine A. Yelick |
| 2020 | Learning Cost-Effective Sampling Strategies for Empirical Performance Modeling. Marcus Ritter, Alexandru Calotoiu, Sebastian Rinke, Thorsten Reimann, Torsten Hoefler, Felix Wolf |
| 2020 | Learning an Effective Charging Scheme for Mobile Devices. Tang Liu, Baijun Wu, Wenzheng Xu, Xianbo Cao, Jian Peng, Hongyi Wu |
| 2020 | Machine-agnostic and Communication-aware Designs for MPI on Emerging Architectures. Jahanzeb Maqbool Hashmi, Shulei Xu, Bharath Ramesh, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. D. K. Panda |
| 2020 | Mitigating Large Response Time Fluctuations through Fast Concurrency Adapting in Clouds. Jianshu Liu, Shungeng Zhang, Qingyang Wang, Jinpeng Wei |
| 2020 | NC Algorithms for Popular Matchings in One-Sided Preference Systems and Related Problems. Changyong Hu, Vijay K. Garg |
| 2020 | Neksus: An Interconnect for Heterogeneous System-In-Package Architectures. Vidushi Goyal, Xiaowei Wang, Valeria Bertacco, Reetuparna Das |
| 2020 | Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan |
| 2020 | On the Complexity of Conditional DAG Scheduling in Multiprocessor Systems. Alberto Marchetti-Spaccamela, Nicole Megow, Jens Schlöter, Martin Skutella, Leen Stougie |
| 2020 | Optimal Convex Hull Formation on a Grid by Asynchronous Robots with Lights. Rory Hector, Ramachandran Vaidyanathan, Gokarna Sharma, Jerry L. Trahan |
| 2020 | Optimal Encoding and Decoding Algorithms for the RAID-6 Liberation Codes. Zhijie Huang, Hong Jiang, Zhirong Shen, Hao Che, Nong Xiao, Ning Li |
| 2020 | Optimize Scheduling of Federated Learning on Battery-powered Mobile Devices. Cong Wang, Xin Wei, Pengzhan Zhou |
| 2020 | Optimizing High Performance Markov Clustering for Pre-Exascale Architectures. Oguz Selvitopi, Md Taufique Hussain, Ariful Azad, Aydin Buluç |
| 2020 | PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network. Chao Tian, Lingxiao Ma, Zhi Yang, Yafei Dai |
| 2020 | Packet-in Request Redirection for Minimizing Control Plane Response Time. Rui Xia, Haipeng Dai, Jiaqi Zheng, Hong Xu, Meng Li, Guihai Chen |
| 2020 | Pacon: Improving Scalability and Efficiency of Metadata Service through Partial Consistency. Yubo Liu, Yutong Lu, Zhiguang Chen, Ming Zhao |
| 2020 | Predicting and Comparing the Performance of Array Management Libraries. Donghe Kang, Oliver Rübel, Suren Byna, Spyros Blanas |
| 2020 | Reservation and Checkpointing Strategies for Stochastic Jobs. Ana Gainaru, Brice Goglin, Valentin Honoré, Guillaume Pallez Aupy, Padma Raghavan, Yves Robert, Hongyang Sun |
| 2020 | Robust Server Placement for Edge Computing. Dongyu Lu, Yuben Qu, Fan Wu, Haipeng Dai, Chao Dong, Guihai Chen |
| 2020 | SCSL: Optimizing Matching Algorithms to Improve Real-time for Content-based Pub/Sub Systems. Tianchen Ding, Shiyou Qian, Jian Cao, Guangtao Xue, Minglu Li |
| 2020 | SSDKeeper: Self-Adapting Channel Allocation to Improve the Performance of SSD Devices. Renping Liu, Xianzhang Chen, Yujuan Tan, Runyu Zhang, Liang Liang, Duo Liu |
| 2020 | Scalability Challenges of an Industrial Implicit Finite Element Code. François-Henry Rouet, Cleve Ashcraft, Jef Dawson, Roger Grimes, Erman Guleryuz, Seid Koric, Robert F. Lucas, James S. Ong, Todd A. Simons, Ting-Ting Zhu |
| 2020 | Scalable and Memory-Efficient Kernel Ridge Regression. Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova |
| 2020 | Scaling Betweenness Approximation to Billions of Edges by MPI-based Adaptive Sampling. Alexander van der Grinten, Henning Meyerhenke |
| 2020 | Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data. Mahesh Balasubramanian, Trevor D. Ruiz, Brandon Cook, Prabhat, Sharmodeep Bhattacharyya, Aviral Shrivastava, Kristofer E. Bouchard |
| 2020 | Scheduling Malleable Jobs Under Topological Constraints. Evripidis Bampis, Konstantinos Dogeas, Alexander V. Kononov, Giorgio Lucarelli, Fanny Pascual |
| 2020 | SeeSAw: Optimizing Performance of In-Situ Analytics Applications under Power Constraints. Ivana Marincic, Venkatram Vishwanath, Henry Hoffmann |
| 2020 | Smartly Handling Renewable Energy Instability in Supporting A Cloud Datacenter. Jiechao Gao, Haoyu Wang, Haiying Shen |
| 2020 | Solving the Container Explosion Problem for Distributed High Throughput Computing. Tim Shaffer, Nicholas L. Hazekamp, Jakob Blomer, Douglas Thain |
| 2020 | Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin |
| 2020 | Stitch It Up: Using Progressive Data Storage to Scale Science. Jay F. Lofstead, John Mitchell, Enze Chen |
| 2020 | StragglerHelper: Alleviating Straggling in Computing Clusters via Sharing Memory Access Patterns. Wenjie Liu, Ping Huang, Xubin He |
| 2020 | Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers. Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, Minyi Guo |
| 2020 | The Case of Performance Variability on Dragonfly-based Systems. Abhinav Bhatele, Jayaraman J. Thiagarajan, Taylor L. Groves, Rushil Anirudh, Staci A. Smith, Brandon Cook, David K. Lowenthal |
| 2020 | The Impossibility of Fast Transactions. Karolos Antoniadis, Diego Didona, Rachid Guerraoui, Willy Zwaenepoel |
| 2020 | Tightening Up the Incentive Ratio for Resource Sharing Over the Rings. Yukun Cheng, Xiaotie Deng, Yuhao Li |
| 2020 | Transaction-Based Core Reliability. Sang Wook Stephen Do, Michel Dubois |
| 2020 | Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens |
| 2020 | Understanding and Improving Persistent Transactions on Optane™ DC Memory. Pantea Zardoshti, Michael F. Spear, Aida Vosoughi, Garret Swart |
| 2020 | Understanding the Interplay between Hardware Errors and User Job Characteristics on the Titan Supercomputer. Seung-Hwan Lim, Ross G. Miller, Sudharshan S. Vazhkudai |
| 2020 | Union: An Automatic Workload Manager for Accelerating Network Simulation. Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan |
| 2020 | Varity: Quantifying Floating-Point Variations in HPC Systems Through Randomized Testing. Ignacio Laguna |
| 2020 | Weaver: Efficient Coflow Scheduling in Heterogeneous Parallel Networks. Xin Sunny Huang, Yiting Xia, T. S. Eugene Ng |
| 2020 | What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics. Tirthak Patel, Adam Wagenhäuser, Christopher Eibel, Timo Hönig, Thomas Zeiser, Devesh Tiwari |
| 2020 | XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems. Peter Pirkelbauer, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao |
| 2020 | XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs. Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu |