Theoretical Computer Science and General Issues

High Performance Computing

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

Editors: Sadayappan, P., Chamberlain, B.L., Juckeland, G., Ltaief, H. (Eds.)

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  • ISBN 978-3-030-50743-5
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Softcover $99.99
price for USA in USD
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About this book

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.

Table of contents (28 chapters)

Table of contents (28 chapters)
  • FASTHash: FPGA-Based High Throughput Parallel Hash Table

    Pages 3-22

    Yang, Yang (et al.)

  • Running a Pre-exascale, Geographically Distributed, Multi-cloud Scientific Simulation

    Pages 23-40

    Sfiligoi, Igor (et al.)

  • Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)TM Streaming-Aggregation Hardware Design and Evaluation

    Pages 41-59

    Graham, Richard L. (et al.)

  • Predicting Job Power Consumption Based on RJMS Submission Data in HPC Systems

    Pages 63-82

    Saillant, Théo (et al.)

  • HyPar-Flow: Exploiting MPI and Keras for Scalable Hybrid-Parallel DNN Training with TensorFlow

    Pages 83-103

    Awan, Ammar Ahmad (et al.)

Buy this book

eBook $79.99
price for USA in USD
  • ISBN 978-3-030-50743-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-3-030-50742-8
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
High Performance Computing
Book Subtitle
35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings
Editors
  • Ponnuswamy Sadayappan
  • Bradford L. Chamberlain
  • Guido Juckeland
  • Hatem Ltaief
Series Title
Theoretical Computer Science and General Issues
Series Volume
12151
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-50743-5
DOI
10.1007/978-3-030-50743-5
Softcover ISBN
978-3-030-50742-8
Edition Number
1
Number of Pages
XVII, 556
Number of Illustrations
197 b/w illustrations, 194 illustrations in colour
Topics