High Performance Computing: 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16–20, 2019, Proceedings

Description

This book constitutes the refereed proceedings of the 34th International Conference on High Performance Computing, ISC High Performance 2019, held in Frankfurt/Main, Germany, in June 2019. The 17 revised full papers presented were carefully reviewed and selected from 70 submissions. The papers cover a broad range of topics such as next-generation high performance components; exascale systems; extreme-scale applications; HPC and advanced environmental engineering projects; parallel ray tracing - visualization at its best; blockchain technology and cryptocurrency; parallel processing in life science; quantum computers/computing; what's new with cloud computing for HPC; parallel programming models for extreme-scale computing; workflow management; machine learning and big data analytics; and deep learning and HPC. Front Matter ....Pages i-xvi Front Matter ....Pages 1-1 Evaluating Quality of Service Traffic Classes on the Megafly Network (Misbah Mubarak, Neil McGlohon, Malek Musleh, Eric Borch, Robert B. Ross, Ram Huggahalli et al.)....Pages 3-20 Front Matter ....Pages 21-21 Densifying Assumed-Sparse Tensors (Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman III, Damian Podareanu, Vikram Saletore et al.)....Pages 23-39 Learning Neural Representations for Predicting GPU Performance (Shweta Salaria, Aleksandr Drozd, Artur Podobas, Satoshi Matsuoka)....Pages 40-58 Front Matter ....Pages 59-59 SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis (Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang)....Pages 61-80 A Near-Data Processing Server Architecture and Its Impact on Data Center Applications (Xiaojia Song, Tao Xie, Stephen Fischer)....Pages 81-98 Comparing the Efficiency of In Situ Visualization Paradigms at Scale (James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki et al.)....Pages 99-117 Front Matter ....Pages 119-119 Layout-Aware Embedding for Quantum Annealing Processors (Jose P. Pinilla, Steven J. E. Wilton)....Pages 121-139 Front Matter ....Pages 141-141 Toward Efficient Architecture-Independent Algorithms for Dynamic Programs (Mohammad Mahdi Javanmard, Pramod Ganapathi, Rathish Das, Zafar Ahmad, Stephen Tschudi, Rezaul Chowdhury)....Pages 143-164 Front Matter ....Pages 165-165 Petaflop Seismic Simulations in the Public Cloud (Alexander Breuer, Yifeng Cui, Alexander Heinecke)....Pages 167-185 MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles (Shashi M. Aithal, Prasanna Balaprakash)....Pages 186-205 Front Matter ....Pages 207-207 PerfMemPlus: A Tool for Automatic Discovery of Memory Performance Problems (Christian Helm, Kenjiro Taura)....Pages 209-226 GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications (Ignacio Laguna, Paul C. Wood, Ranvijay Singh, Saurabh Bagchi)....Pages 227-246 Performance Exploration Through Optimistic Static Program Annotations (Johannes Doerfert, Brian Homerding, Hal Finkel)....Pages 247-268 Front Matter ....Pages 269-269 End-to-End Resilience for HPC Applications (Arash Rezaei, Harsh Khetawat, Onkar Patil, Frank Mueller, Paul Hargrove, Eric Roman)....Pages 271-290 Resilient Optimistic Termination Detection for the Async-Finish Model (Sara S. Hamouda, Josh Milthorpe)....Pages 291-311 Global Task Data-Dependencies in PGAS Applications (Joseph Schuchart, José Gracia)....Pages 312-329 Finepoints: Partitioned Multithreaded MPI Communication (Ryan E. Grant, Matthew G. F. Dosanjh, Michael J. Levenhagen, Ron Brightwell, Anthony Skjellum)....Pages 330-350 Back Matter ....Pages 351-352