High Performance Computing: 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16–20, 2019, Proceedings (Lecture Notes in Computer Science Book 11501)

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 This book constitutes the proceedings of the Third OpenSHMEM Workshop, held in Baltimore, MD, USA, in August 2016. The 14 full papers and 3 short papers presented were carefully reviewed and selected from 25 submissions. The papers discuss a variety of ideas of extending the OpenSHMEM specification and making it efficient for current and next generation systems. This included active messages, non-blocking APIs, fault tolerance capabitlities, exploring implementation of OpenSHMEM using communication layers such as OFI and UCX and implementing OpenSHMEM for heterogeneous architectures.