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

✍ Scribed by Michèle Weiland, Guido Juckeland, Carsten Trinitis, Ponnuswamy Sadayappan

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 357
Series: Lecture Notes in Computer Science 11501
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

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

✦ Subjects

Computer Science; Software Engineering/Programming and Operating Systems; Logic Design; Processor Architectures; Information Systems and Communication Service

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