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High Performance Computing 35th International Conference Isc High Performance 2020 Frankfurtmain Germany June 2225 2020 Proceedings 1st Ed Ponnuswamy Sadayappan

  • SKU: BELL-22504756
High Performance Computing 35th International Conference Isc High Performance 2020 Frankfurtmain Germany June 2225 2020 Proceedings 1st Ed Ponnuswamy Sadayappan
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High Performance Computing 35th International Conference Isc High Performance 2020 Frankfurtmain Germany June 2225 2020 Proceedings 1st Ed Ponnuswamy Sadayappan instant download after payment.

Publisher: Springer International Publishing;Springer
File Extension: PDF
File size: 48.41 MB
Author: Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief
ISBN: 9783030507428, 9783030507435, 3030507424, 3030507432
Language: English
Year: 2020
Edition: 1st ed.

Product desciption

High Performance Computing 35th International Conference Isc High Performance 2020 Frankfurtmain Germany June 2225 2020 Proceedings 1st Ed Ponnuswamy Sadayappan by Ponnuswamy Sadayappan, Bradford L. Chamberlain, Guido Juckeland, Hatem Ltaief 9783030507428, 9783030507435, 3030507424, 3030507432 instant download after payment.

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.

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