| 2019 | Session details: Cloud Systems. | Jay F. Lofstead |
| 2019 | A Software Defined Network Design for Analyzing Streaming Data in Transit. | Ying Liu, Dimitrios Katramatos |
| 2019 | Session details: HPDC Achievement Award Talk. | Hang Liu |
| 2019 | Session details: Scalable Graph Processing. | Hang Liu |
| 2019 | GAugur: Quantifying Performance Interference of Colocated Games for Improving Resource Utilization in Cloud Gaming. | Yusen Li, Chuxu Shan, Ruobing Chen, Xueyan Tang, Wentong Cai, Shanjiang Tang, Xiaoguang Liu, Gang Wang, Xiaoli Gong, Ying Zhang |
| 2019 | Session details: Technical Session II. | Alina Lazar |
| 2019 | Scientific Tests and Continuous Integration Strategies to Enhance Reproducibility in the Scientific Software Context. | Matthew Krafczyk, August Shi, Adhithya Bhaskar, Darko Marinov, Victoria Stodden |
| 2019 | LABIOS: A Distributed Label-Based I/O System. | Anthony Kougkas, Hariharan Devarajan, Jay F. Lofstead, Xian-He Sun |
| 2019 | Generating Labeled Flow Data from MAWILab Traces for Network Intrusion Detection. | Jinoh Kim, Caitlin Sim, Jinhwan Choi |
| 2019 | Real-time Multi-process Tracing Decoder Architecture. | Youngsoo Kim, Jonghyun Kim, Ikkyun Kim, Hyunchul Kim |
| 2019 | Session details: Keynote Speech. | Jinoh Kim |
| 2019 | Performance Prediction for Data Transfers in LCLS Workflow. | Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu |
| 2019 | DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. | Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello |
| 2019 | Adaptive Resource Views for Containers. | Hang Huang, Jia Rao, Song Wu, Hai Jin, Kun Suo, Xiaofeng Wu |
| 2019 | Paths to Fast Barrier Synchronization on the Node. | Conor Hetland, Georgios Tziantzioulis, Brian Suchy, Michael Leonard, Jin Han, John Albers, Nikos Hardavellas, Peter A. Dinda |
| 2019 | Similarity-based Compression with Multidimensional Pattern Matching. | Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu |
| 2019 | Performance and Security Challenges in Science Workflows. | Dipak Ghosal |
| 2019 | ElasticPipe: An Efficient and Dynamic Model-Parallel Solution to DNN Training. | Jinkun Geng, Dan Li, Shuai Wang |
| 2019 | Horizontal or Vertical?: A Hybrid Approach to Large-Scale Distributed Machine Learning. | Jinkun Geng, Dan Li, Shuai Wang |
| 2019 | XBFS: eXploring Runtime Optimizations for Breadth-First Search on GPUs. | Anil Gaihre, Zhenlin Wu, Fan Yao, Hang Liu |
| 2019 | Perspectives on High-Performance Computing in a Big Data World. | Geoffrey C. Fox |
| 2019 | Scheduling Beyond CPUs for HPC. | Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul |
| 2019 | Session details: Session 2: Scientific Computing Based on Cloud. | Dmitry Duplyakin |
| 2019 | Better Late Than Never: An n-Variant Framework of Verification for Java Source Code on CPU x GPU Hybrid Platform. | Jun Duan, Kevin W. Hamlen, Benjamin Ferrell |
| 2019 | Kleio: A Hybrid Memory Page Scheduler with Machine Intelligence. | Thaleia Dimitra Doudali, Sergey Blagodurov, Abhinav Vishnu, Sudhanva Gurumurthi, Ada Gavrilovska |