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High Performance Computing

33rd International Conference, ISC High Performance 2018, Frankfurt, Germany, June 24-28, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Rio Yokota

    1. Tokyo Institute of Technology, Tokyo, Japan

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  2. Michèle Weiland

    1. University of Edinburgh, Edinburgh, United Kingdom

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  3. David Keyes

    1. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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  4. Carsten Trinitis

    1. Technische Universität München, Garching bei München, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10876)

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 2018.

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About this book

This book constitutes the refereed proceedings of the 33rd International Conference, ISC High Performance 2018, held in Frankfurt, Germany, in June 2018.

The 20 revised full papers presented in this book were carefully reviewed and selected from 81 submissions. The papers cover the following topics: Resource Management and Energy Efficiency; Performance Analysis and Tools; Exascale Networks; Parallel Algorithms.

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Table of contents (20 papers)

  1. Front Matter

    Pages I-XV
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  2. Resource Management and Energy Efficiency

    1. Front Matter

      Pages 1-1
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    2. Heterogeneity-Aware Resource Allocation in HPC Systems

      • Alessio Netti, Cristian Galleguillos, Zeynep Kiziltan, Alina Sîrbu, Ozalp Babaoglu
      Pages 3-21

    3. On the Accuracy and Usefulness of Analytic Energy Models for Contemporary Multicore Processors

      • Johannes Hofmann, Georg Hager, Dietmar Fey
      Pages 22-43

    4. Bayesian Optimization of HPC Systems for Energy Efficiency

      • Takashi Miyazaki, Issei Sato, Nobuyuki Shimizu
      Pages 44-62

    5. DTF: An I/O Arbitration Framework for Multi-component Data Processing Workflows

      • Tatiana V. Martsinkevich, Balazs Gerofi, Guo-Yuan Lien, Seiya Nishizawa, Wei-keng Liao, Takemasa Miyoshi et al.
      Pages 63-80

    6. Classifying Jobs and Predicting Applications in HPC Systems

      • Keiji Yamamoto, Yuichi Tsujita, Atsuya Uno
      Pages 81-99

  3. Performance Analysis and Tools

    1. Front Matter

      Pages 101-101
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    2. A Survey of Programming Tools for D-Wave Quantum-Annealing Processors

      • Scott Pakin, Steven P. Reinhardt
      Pages 103-122

    3. Compiler-Assisted Source-to-Source Skeletonization of Application Models for System Simulation

      • Jeremiah J. Wilke, Joseph P. Kenny, Samuel Knight, Sebastien Rumley
      Pages 123-143

    4. Zeno: A Straggler Diagnosis System for Distributed Computing Using Machine Learning

      • Huanxing Shen, Cong Li
      Pages 144-162

    5. Applicability of the ECM Performance Model to Explicit ODE Methods on Current Multi-core Processors

      • Johannes Seiferth, Christie Alappat, Matthias Korch, Thomas Rauber
      Pages 163-183

    6. Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems

      • Sandeep Madireddy, Prasanna Balaprakash, Philip Carns, Robert Latham, Robert Ross, Shane Snyder et al.
      Pages 184-204

    7. Performance Optimization and Evaluation of Scalable Optoelectronics Application on Large Scale KNL Cluster

      • Yuta Hirokawa, Taisuke Boku, Mitsuharu Uemoto, Shunsuke A. Sato, Kazuhiro Yabana
      Pages 205-225

    8. A Novel Multi-level Integrated Roofline Model Approach for Performance Characterization

      • Tuomas Koskela, Zakhar Matveev, Charlene Yang, Adetokunbo Adedoyin, Roman Belenov, Philippe Thierry et al.
      Pages 226-245

    9. Hardware Performance Variation: A Comparative Study Using Lightweight Kernels

      • Hannes Weisbach, Balazs Gerofi, Brian Kocoloski, Hermann Härtig, Yutaka Ishikawa
      Pages 246-265

  4. Exascale Networks

    1. Front Matter

      Pages 267-267
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    2. The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance

      • Joseph P. Kenny, Khachik Sargsyan, Samuel Knight, George Michelogiannakis, Jeremiah J. Wilke
      Pages 269-288

    3. Megafly: A Topology for Exascale Systems

      • Mario Flajslik, Eric Borch, Mike A. Parker
      Pages 289-310

    4. Packetization of Shared-Memory Traces for Message Passing Oriented NoC Simulation

      • Vincenzo Catania, Monteleone Salvatore, Maurizio Palesi, Davide Patti
      Pages 311-325
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Other volumes

  1. High Performance Computing

  2. High Performance Computing

Editors and Affiliations

  • Tokyo Institute of Technology, Tokyo, Japan

    Rio Yokota

  • University of Edinburgh, Edinburgh, United Kingdom

    Michèle Weiland

  • King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

    David Keyes

  • Technische Universität München, Garching bei München, Germany

    Carsten Trinitis

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