| 2020 | ASA - The Adaptive Scheduling Architecture. Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson |
| 2020 | An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster. Akihiko Kasagi, Akihiro Tabuchi, Masafumi Yamazaki, Takumi Honda, Masahiro Miwa, Naoto Fukumoto, Tsuguchika Tabaru, Atsushi Ike, Kohta Nakashima |
| 2020 | Aquila: Adaptive Parallel Computation of Graph Connectivity Queries. Yuede Ji, H. Howie Huang |
| 2020 | Boosting FIB Caching Performance with Aggregation. Garegin Grigoryan, Yaoqing Liu, Minseok Kwon |
| 2020 | Cloud-scale VM-deflation for Running Interactive Applications On Transient Servers. Alexander Fuerst, Ahmed Ali-Eldin, Prashant J. Shenoy, Prateek Sharma |
| 2020 | Cognitive Discovery: Accelerating Technical R&D with AI. Costas Bekas |
| 2020 | DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems. Alessio Netti, Micha Müller, Carla Guillén, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz |
| 2020 | Efficient GPU Memory Management for Nonlinear DNNs. Donglin Yang, Dazhao Cheng |
| 2020 | FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca |
| 2020 | HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23-26, 2020 Manish Parashar, Vladimir Vlassov, David Irwin, Kathryn M. Mohror |
| 2020 | High Accuracy Matrix Computations on Neural Engines: A Study of QR Factorization and its Applications. Shaoshuai Zhang, Elaheh Baharlouei, Panruo Wu |
| 2020 | High Performance is All about Minimizing Data Movement. Mary W. Hall |
| 2020 | KubeShare: A Framework to Manage GPUs as First-Class and Shared Resources in Container Cloud. Ting-An Yeh, Hung-Hsin Chen, Jerry Chou |
| 2020 | Modeling The Temporally Constrained Preemptions of Transient Cloud VMs. J. C. S. Kadupitige, Vikram Jadhao, Prateek Sharma |
| 2020 | Orchestrating Fault Prediction with Live Migration and Checkpointing. Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky |
| 2020 | PAC: Paged Adaptive Coalescer for 3D-Stacked Memory. Xi Wang, John D. Leidel, Brody Williams, Yong Chen |
| 2020 | Practical Distributed Programming in C++. Maurizio Drocco, Vito Giovanni Castellana, Marco Minutoli |
| 2020 | RECANS: Low-Latency Network Function Chains with Hierarchical State Sharing. Jian Zhao, Shujun Zhuang, Jian Li, Haibing Guan |
| 2020 | Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2020 | Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors. Ivan Simecek, Claudio Kozický, Daniel Langr, Pavel Tvrdík |
| 2020 | Spying on the Floating Point Behavior of Existing, Unmodified Scientific Applications. Peter A. Dinda, Alex Bernat, Conor Hetland |
| 2020 | TiFL: A Tier-based Federated Learning System. Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng |
| 2020 | Towards HPC I/O Performance Prediction through Large-scale Log Analysis. Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom |
| 2020 | funcX: A Federated Function Serving Fabric for Science. Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard |
| 2020 | gRemote: API-Forwarding Powered Cloud Rendering. Dongjie Tang, Yun Wang, Linsheng Li, Jiacheng Ma, Xue Liu, Zhengwei Qi, Haibing Guan |