High Performance Computing - 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22-25, 2020, Proceedings (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 12151
Release date:	June 2020
First published:	2020
Editors:	Ponnuswamy Sadayappan • Bradford L. Chamberlain • Guido Juckeland • Hatem Ltaief
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	556
Edition:	1st ed. 2020
ISBN-13:	978-3-03-050742-8
Categories:	Books > Computing & IT > Computer hardware & operating systems > General Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-050742-4
Barcode:	9783030507428

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