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High Performance Computing

38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21–25, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Abhinav Bhatele

    1. University of Maryland, College Park, USA

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  2. Jeff Hammond

    1. NVIDIA, Helsinki, Finland

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  3. Marc Baboulin

    1. Université Paris-Saclay, Gif-sur-Yvette, France

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  4. Carola Kruse

    1. CERFACS, Toulouse, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13948)

Included in the following conference series:

Conference proceedings info: ISC High Performance 2023.

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About this book

This book constitutes the proceedings of the 38th International Conference on High Performance Computing, ISC High Performance 2023, which took place in Hamburg, Germany, in May 2023. 

The 21 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: Architecture, Networks, and Storage; HPC Algorithms & Applications; Machine Learning, AI, & Quantum Computing; Performance Modeling, Evaluation, & Analysis; and Programming Environments & Systems Software.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xiii
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  2. Architecture, Networks, and Storage

    1. Front Matter

      Pages 1-1
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    2. CPU Architecture Modelling and Co-design

      • Bine Brank, Dirk Pleiter
      Pages 3-21

    3. Illuminating the I/O Optimization Path of Scientific Applications

      • Hammad Ather, Jean Luca Bez, Boyana Norris, Suren Byna
      Pages 22-41

    4. Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems

      • Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella
      Pages 42-61

  3. HPC Algorithms and Applications

    1. Front Matter

      Pages 63-63
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    2. Efficient GPU Offloading with OpenMP for a Hyperbolic Finite Volume Solver on Dynamically Adaptive Meshes

      • Mario Wille, Tobias Weinzierl, Gonzalo Brito Gadeschi, Michael Bader
      Pages 65-85Open Access

    3. Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline

      • Christoph Alt, Tobias Kenter, Sara Faghih-Naini, Jennifer Faj, Jan-Oliver Opdenhövel, Christian Plessl et al.
      Pages 86-105

    4. Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations

      • Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian, Charlotte Debus, Alexander Schug et al.
      Pages 106-124Open Access

    5. Steering Customized AI Architectures for HPC Scientific Applications

      • Hatem Ltaief, Yuxi Hong, Adel Dabah, Rabab Alomairy, Sameh Abdulah, Chris Goreczny et al.
      Pages 125-143

    6. GPU-Based Low-Precision Detection Approach for Massive MIMO Systems

      • Adel Dabah, Hatem Ltaief, Zouheir Rezki, Slim Alouini, David Keyes
      Pages 144-163

    7. A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs

      • Vasileios Georgiou, Christos Boutsikas, Petros Drineas, Hartwig Anzt
      Pages 164-181

    8. Ready for the Frontier: Preparing Applications for the World’s First Exascale System

      • Reuben D. Budiardja, Mark Berrill, Markus Eisenbach, Gustav R. Jansen, Wayne Joubert, Stephen Nichols et al.
      Pages 182-201

    9. End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX

      • Mehmet Cagri Kaymak, Samuel S. Schoenholz, Ekin D. Cubuk, Kurt A. O’Hearn, Kenneth M. Merz Jr., Hasan Metin Aktulga
      Pages 202-219

  4. Machine Learning, AI, and Quantum Computing

    1. Front Matter

      Pages 221-221
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    2. Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization

      • Hikaru Ibayashi, Taufeq Mohammed Razakh, Liqiu Yang, Thomas Linker, Marco Olguin, Shinnosuke Hattori et al.
      Pages 223-239

    3. Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on NISQ Computers

      • Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz
      Pages 240-258

    4. Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection

      • Hiryuki Ootomo, Hidetaka Manabe, Kenji Harada, Rio Yokota
      Pages 259-276

  5. Performance Modeling, Evaluation, and Analysis

    1. Front Matter

      Pages 277-277
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    2. A Study on the Performance Implications of AArch64 Atomics

      • Ricardo Jesus, Michèle Weiland
      Pages 279-296
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Other volumes

  1. High Performance Computing

  2. High Performance Computing

Editors and Affiliations

  • University of Maryland, College Park, USA

    Abhinav Bhatele

  • NVIDIA, Helsinki, Finland

    Jeff Hammond

  • Université Paris-Saclay, Gif-sur-Yvette, France

    Marc Baboulin

  • CERFACS, Toulouse, France

    Carola Kruse

Bibliographic Information

  • Book Title: High Performance Computing

  • Book Subtitle: 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21–25, 2023, Proceedings

  • Editors: Abhinav Bhatele, Jeff Hammond, Marc Baboulin, Carola Kruse

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-32041-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-32040-8Published: 06 May 2023

  • eBook ISBN: 978-3-031-32041-5Published: 09 May 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 426

  • Number of Illustrations: 8 b/w illustrations, 172 illustrations in colour

  • Topics: Computer Systems Organization and Communication Networks

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