High Performance Computing | 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings | ISBN 9783030507435

High Performance Computing

35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings

herausgegeben von Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland und Hatem Ltaief
Mitwirkende
Herausgegeben vonPonnuswamy Sadayappan
Herausgegeben vonBradford L. Chamberlain
Herausgegeben vonGuido Juckeland
Herausgegeben vonHatem Ltaief
Buchcover High Performance Computing  | EAN 9783030507435 | ISBN 3-030-50743-2 | ISBN 978-3-030-50743-5

High Performance Computing

35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings

herausgegeben von Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland und Hatem Ltaief
Mitwirkende
Herausgegeben vonPonnuswamy Sadayappan
Herausgegeben vonBradford L. Chamberlain
Herausgegeben vonGuido Juckeland
Herausgegeben vonHatem Ltaief

This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.*

The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software.

*The conference was held virtually due to the COVID-19 pandemic.

Chapters „Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation“, „Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization“, „Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology“, „Footprint-Aware Power Capping for Hybrid Memory Based Systems“, and „Pattern-Aware Staging for Hybrid Memory Systems“ are available open access under a Creative Commons Attribution 4.0 International License via link. springer. com.