| 2019 | A Near-Data Processing Server Architecture and Its Impact on Data Center Applications. Xiaojia Song, Tao Xie, Stephen Fischer |
| 2019 | Comparing the Efficiency of In Situ Visualization Paradigms at Scale. James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire |
| 2019 | Densifying Assumed-Sparse Tensors - Improving Memory Efficiency and MPI Collective Performance During Tensor Accumulation for Parallelized Training of Neural Machine Translation Models. Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram A. Saletore, Alexander Sergeev, Don D. Smith II, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang |
| 2019 | End-to-End Resilience for HPC Applications. Arash Rezaei, Harsh Khetawat, Onkar Patil, Frank Mueller, Paul Hargrove, Eric Roman |
| 2019 | Evaluating Quality of Service Traffic Classes on the Megafly Network. Misbah Mubarak, Neil McGlohon, Malek Musleh, Eric Borch, Robert B. Ross, Ram Huggahalli, Sudheer Chunduri, Scott Parker, Christopher D. Carothers, Kalyan Kumaran |
| 2019 | Finepoints: Partitioned Multithreaded MPI Communication. Ryan E. Grant, Matthew G. F. Dosanjh, Michael J. Levenhagen, Ron Brightwell, Anthony Skjellum |
| 2019 | GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications. Ignacio Laguna, Paul C. Wood, Ranvijay Singh, Saurabh Bagchi |
| 2019 | Global Task Data-Dependencies in PGAS Applications. Joseph Schuchart, José Gracia |
| 2019 | High Performance Computing - 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16-20, 2019, Proceedings Michèle Weiland, Guido Juckeland, Carsten Trinitis, Ponnuswamy Sadayappan |
| 2019 | Layout-Aware Embedding for Quantum Annealing Processors. Jose P. Pinilla, Steven J. E. Wilton |
| 2019 | Learning Neural Representations for Predicting GPU Performance. Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka |
| 2019 | MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles. Shashi M. Aithal, Prasanna Balaprakash |
| 2019 | PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems. Christian Helm, Kenjiro Taura |
| 2019 | Performance Exploration Through Optimistic Static Program Annotations. Johannes Doerfert, Brian Homerding, Hal Finkel |
| 2019 | Petaflop Seismic Simulations in the Public Cloud. Alexander Breuer, Yifeng Cui, Alexander Heinecke |
| 2019 | Resilient Optimistic Termination Detection for the Async-Finish Model. Sara S. Hamouda, Josh Milthorpe |
| 2019 | SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang |
| 2019 | Toward Efficient Architecture-Independent Algorithms for Dynamic Programs. Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen L. Tschudi, Rezaul Chowdhury |