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High Performance Computing

ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21–25, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Heike Jagode

    1. University of Tennessee at Knoxville, Knowville, USA

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  2. Hartwig Anzt

    1. Department of Mathematics, KIT für Technologie Karlsruhe, Karlsruhe, Germany

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  3. Guido Juckeland

    1. Computational Science, Helmholtz-Zentrum Dresden Rossendorf, Dresden, Germany

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  4. Hatem Ltaief

    1. Extreme Computing Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12321)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ISC High Performance 2020.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. First Workshop on Compiler-Assisted Correctness Checking and Performance Optimization for HPC (C3PO’20)

    1. Front Matter

      Pages 1-4
      Download chapter PDF

    2. Compiler-Assisted Type-Safe Checkpointing

      • Jan-Patrick Lehr, Alexander Hück, Moritz Fischer, Christian Bischof
      Pages 5-18

    3. Static Analysis to Enhance Programmability and Performance in OmpSs-2

      • Adrian Munera, Sara Royuela, Roger Ferrer, Raul Peñacoba, Eduardo Quiñones
      Pages 19-33

    4. Automatic Detection of MPI Assertions

      • Tim Jammer, Christian Iwainsky, Christian Bischof
      Pages 34-42

    5. Automatic Code Motion to Extend MPI Nonblocking Overlap Window

      • Van Man Nguyen, Emmanuelle Saillard, Julien Jaeger, Denis Barthou, Patrick Carribault
      Pages 43-54

  3. First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML)

    1. Front Matter

      Pages 55-59
      Download chapter PDF

    2. Complete Deep Computer-Vision Methodology for Investigating Hydrodynamic Instabilities

      • Re’em Harel, Matan Rusanovsky, Yehonatan Fridman, Assaf Shimony, Gal Oren
      Pages 61-80

    3. Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning

      • Mario Rüttgers, Seong-Ryong Koh, Jenia Jitsev, Wolfgang Schröder, Andreas Lintermann
      Pages 81-101Open Access

    4. Unsupervised Learning of Particle Image Velocimetry

      • Mingrui Zhang, Matthew D. Piggott
      Pages 102-115

    5. Reduced Order Modeling of Dynamical Systems Using Artificial Neural Networks Applied to Water Circulation

      • Alberto Costa Nogueira Jr., João Lucas de Sousa Almeida, Guillaume Auger, Campbell D. Watson
      Pages 116-136

    6. Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network

      • Shirui Luo, Madhu Vellakal, Seid Koric, Volodymyr Kindratenko, Jiahuan Cui
      Pages 137-149

  4. HPC I/O in the Data Center Workshop (HPC-IODC)

    1. Front Matter

      Pages 151-160
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    2. Investigating the Overhead of the REST Protocol When Using Cloud Services for HPC Storage

      • Frank Gadban, Julian Kunkel, Thomas Ludwig
      Pages 161-176

    3. Characterizing I/O Optimization Effect Through Holistic Log Data Analysis of Parallel File Systems and Interconnects

      • Yuichi Tsujita, Yoshitaka Furutani, Hajime Hida, Keiji Yamamoto, Atsuya Uno
      Pages 177-190

    4. The Importance of Temporal Behavior When Classifying Job IO Patterns Using Machine Learning Techniques

      • Eugen Betke, Julian Kunkel
      Pages 191-205

  5. 1st Workshop “Machine Learning on HPC Systems” (MLHPCS)

    1. Front Matter

      Pages 207-209
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    2. GOPHER, an HPC Framework for Large Scale Graph Exploration and Inference

      • Marc Josep-Fabregó, Xavier Teruel, Victor Gimenez-Abalos, Davide Cirillo, Dario Garcia-Gasulla, Sergio Alvarez-Napagao et al.
      Pages 211-222

    3. Ensembles of Networks Produced from Neural Architecture Search

      • Emily J. Herron, Steven R. Young, Thomas E. Potok
      Pages 223-234

    4. SmartPred: Unsupervised Hard Disk Failure Detection

      • Philipp Rombach, Janis Keuper
      Pages 235-246
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Other volumes

  1. High Performance Computing

  2. High Performance Computing

Keywords

About this book

This book constitutes the refereed post-conference proceedings of 10 workshops held at the 35th International ISC High Performance 2020 Conference, in Frankfurt, Germany, in June 2020:
First Workshop on Compiler-assisted Correctness Checking and Performance Optimization for HPC (C3PO); First International Workshop on the Application of Machine Learning Techniques to Computational Fluid Dynamics Simulations and Analysis (CFDML); HPC I/O in the Data Center Workshop (HPC-IODC); First Workshop \Machine Learning on HPC Systems" (MLHPCS); First International Workshop on Monitoring and Data Analytics (MODA); 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC).

The 25 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include high-performance computing (HPC), computer architecture and hardware,programming models, system software, performance analysis and modeling, compiler analysis and optimization techniques, software sustainability, scientific applications, deep learning.

Editors and Affiliations

  • University of Tennessee at Knoxville, Knowville, USA

    Heike Jagode

  • Department of Mathematics, KIT für Technologie Karlsruhe, Karlsruhe, Germany

    Hartwig Anzt

  • Computational Science, Helmholtz-Zentrum Dresden Rossendorf, Dresden, Germany

    Guido Juckeland

  • Extreme Computing Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

    Hatem Ltaief

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