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High Performance Computing

37th International Conference, ISC High Performance 2022, Hamburg, Germany, May 29 – June 2, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ana-Lucia Varbanescu

    1. University of Twente, Enschede, The Netherlands

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  2. Abhinav Bhatele

    1. University of Maryland, College Park, USA

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  3. Piotr Luszczek

    1. University of Tennessee, Knoxville, USA

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  4. Baboulin Marc

    1. Université Paris-Saclay, Orsay, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13289)

Included in the following conference series:

Conference proceedings info: ISC High Performance 2022.

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Table of contents (19 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters

      • Qinghua Zhou, Pouya Kousha, Quentin Anthony, Kawthar Shafie Khorassani, Aamir Shafi, Hari Subramoni et al.
      Pages 3-25

    3. NVIDIA’s Quantum InfiniBand Network Congestion Control Technology and Its Impact on Application Performance

      • Yuval Shpigelman, Gilad Shainer, Richard Graham, Yong Qin, Gerardo Cisneros-Stoianowski, Craig Stunkel
      Pages 26-43

    4. LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads

      • Marjan Fariborz, Mahyar Samani, Pouya Fotouhi, Roberto Proietti, Il-Min Yi, Venkatesh Akella et al.
      Pages 44-64

    5. SU3_Bench on a Programmable Integrated Unified Memory Architecture (PIUMA) and How that Differs from Standard NUMA CPUs

      • Jesmin Jahan Tithi, Fabio Checconi, Douglas Doerfler, Fabrizio Petrini
      Pages 65-84

  3. Machine Learning, AI, and Emerging Technologies

    1. Front Matter

      Pages 85-85
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    2. “Hey CAI” - Conversational AI Enabled User Interface for HPC Tools

      • Pouya Kousha, Arpan Jain, Ayyappa Kolli, Saisree Miriyala, Prasanna Sainath, Hari Subramoni et al.
      Pages 87-108

    3. Hy-Fi: Hybrid Five-Dimensional Parallel DNN Training on High-Performance GPU Clusters

      • Arpan Jain, Aamir Shafi, Quentin Anthony, Pouya Kousha, Hari Subramoni, Dhableswar K. Panda
      Pages 109-130

  4. HPC Algorithms and Applications

    1. Front Matter

      Pages 131-131
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    2. Efficient Application of Hanging-Node Constraints for Matrix-Free High-Order FEM Computations on CPU and GPU

      • Peter Munch, Karl Ljungkvist, Martin Kronbichler
      Pages 133-152

    3. Dynamic Task Fusion for a Block-Structured Finite Volume Solver over a Dynamically Adaptive Mesh with Local Time Stepping

      • Baojiu Li, Holger Schulz, Tobias Weinzierl, Han Zhang
      Pages 153-173

    4. Accelerating Simulated Quantum Annealing with GPU and Tensor Cores

      • Yi-Hua Chung, Cheng-Jhih Shih, Shih-Hao Hung
      Pages 174-191

    5. m-Cubes: An Efficient and Portable Implementation of Multi-dimensional Integration for GPUs

      • Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno, Desh Ranjan, Balša Terzić, Mohammad Zubair
      Pages 192-209

  5. Performance Modeling, Evaluation, and Analysis

    1. Front Matter

      Pages 211-211
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    2. Comparative Evaluation of Call Graph Generation by Profiling Tools

      • Onur Cankur, Abhinav Bhatele
      Pages 213-232

    3. MAPredict: Static Analysis Driven Memory Access Prediction Framework for Modern CPUs

      • Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter, Allen D. Malony
      Pages 233-255

    4. Rapid Execution Time Estimation for Heterogeneous Memory Systems Through Differential Tracing

      • Nicolas Denoyelle, Swann Perarnau, Kamil Iskra, Balazs Gerofi
      Pages 256-274

    5. Understanding Distributed Deep Learning Performance by Correlating HPC and Machine Learning Measurements

      • Ana Luisa Veroneze Solórzano, Lucas Mello Schnorr
      Pages 275-292

    6. A Motivating Case Study on Code Variant Selection by Reinforcement Learning

      • Oliver Hacker, Matthias Korch, Johannes Seiferth
      Pages 293-312
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Other volumes

  1. High Performance Computing

  2. High Performance Computing. ISC High Performance 2022 International Workshops

Keywords

About this book

This book constitutes the refereed proceedings of the 37th International Conference on High Performance Computing, ISC High Performance 2022, held in Hamburg, Germany, during May 29 – June 2, 2022.

The 18 full papers presented were carefully reviewed and selected from 53 submissions. The papers are categorized into the following topical sub-headings: Architecture, Networks, and Storage; Machine Learning, AI, Emerging Technologies; HPC Algorithms and Applications; Performance Modeling, Evaluation and Analysis; and Programming Environments and Systems Software.


Editors and Affiliations

  • University of Twente, Enschede, The Netherlands

    Ana-Lucia Varbanescu

  • University of Maryland, College Park, USA

    Abhinav Bhatele

  • University of Tennessee, Knoxville, USA

    Piotr Luszczek

  • Université Paris-Saclay, Orsay, France

    Baboulin Marc

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