| 2020 | PAC: Paged Adaptive Coalescer for 3D-Stacked Memory. | Xi Wang, John D. Leidel, Brody Williams, Yong Chen |
| 2020 | Advancing Computational Reproducibility in the Dataverse Data Repository Platform. | Ana Trisovic, Philip Durbin, Tania Schlatter, Gustavo Durand, Sonia Barbosa, Danny Brooke, Merc Crosas |
| 2020 | gRemote: API-Forwarding Powered Cloud Rendering. | Dongjie Tang, Yun Wang, Linsheng Li, Jiacheng Ma, Xue Liu, Zhengwei Qi, Haibing Guan |
| 2020 | Beyond Open Data: A Model for Linking Digital Artifacts to Enable Reproducibility of Scientific Claims. | Victoria Stodden |
| 2020 | ASA - The Adaptive Scheduling Architecture. | Abel Souza, Kristiaan Pelckmans, Devarshi Ghoshal, Lavanya Ramakrishnan, Johan Tordsson |
| 2020 | Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors. | Ivan Simecek, Claudio Kozick, Daniel Langr, Pavel Tvrdk |
| 2020 | KDetect: Unsupervised Anomaly Detection for Cloud Systems Based on Time Series Clustering. | Swati Sharma, Amadou Diarra, Frederico Alvares, Thomas Ropars |
| 2020 | Finding the Optimal Reconfiguration for Network Function Virtualization Orchestration with Time-varied Workload. | Satyajit Padhy, Jerry Chou |
| 2020 | Stimulating Reproducible Software Artifacts. | Luis Oliveira, David Wilkinson, Daniel Moss, Bruce R. Childers |
| 2020 | MiDas: Containerizing Data-Intensive Applications with I/O Specialization. | Chaitra Niddodi, Ashish Gehani, Tanu Malik, Jorge A. Navas, Sibin Mohan |
| 2020 | DCDB Wintermute: Enabling Online and Holistic Operational Data Analytics on HPC Systems. | Alessio Netti, Micha Mller, Carla Guilln, Michael Ott, Daniele Tafani, Gence Ozer, Martin Schulz |
| 2020 | Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. | Makiya Nakashima, Alex Sim, Jinoh Kim |
| 2020 | Analytics-Driven Networking: When the Computer becomes the Network. | Inder Monga |
| 2020 | Using Machine Learning for Intent-based provisioning in High-Speed Science Networks. | Hocine Mahtout, Mariam Kiran, Anu Mercian, Bashir Mohammed |
| 2020 | Data-driven Learning to Predict WAN Network Traffic. | Nandini Krishnaswamy, Mariam Kiran, Kunal Singh, Bashir Mohammed |
| 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 | Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. | Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm |
| 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 | Modeling The Temporally Constrained Preemptions of Transient Cloud VMs. | J. C. S. Kadupitige, Vikram Jadhao, Prateek Sharma |
| 2020 | Aquila: Adaptive Parallel Computation of Graph Connectivity Queries. | Yuede Ji, H. Howie Huang |
| 2020 | Xanthus: Push-button Orchestration of Host Provenance Data Collection. | Xueyuan Han, James Mickens, Ashish Gehani, Margo I. Seltzer, Thomas F. J.-M. Pasquier |
| 2020 | High Performance is All about Minimizing Data Movement. | Mary W. Hall |
| 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 | Practical Distributed Programming in C++. | Maurizio Drocco, Vito Giovanni Castellana, Marco Minutoli |