High Performance Computing

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

  • Ponnuswamy Sadayappan
  • Bradford L. Chamberlain
  • Guido Juckeland
  • Hatem Ltaief
Conference proceedings ISC High Performance 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12151)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 12151)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Architectures, Networks and Infrastructure

    1. Front Matter
      Pages 1-1
    2. Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
      Pages 3-22
    3. Igor Sfiligoi, Frank Würthwein, Benedikt Riedel, David Schultz
      Pages 23-40
    4. Richard L. Graham, Lion Levi, Devendar Burredy, Gil Bloch, Gilad Shainer, David Cho et al.
      Pages 41-59 Open Access
  3. Artificial Intelligence and Machine Learning

    1. Front Matter
      Pages 61-61
    2. Théo Saillant, Jean-Christophe Weill, Mathilde Mougeot
      Pages 63-82
    3. Ammar Ahmad Awan, Arpan Jain, Quentin Anthony, Hari Subramoni, Dhabaleswar K. Panda
      Pages 83-103
    4. Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis, Martin Schulz
      Pages 104-123
  4. Data, Storage and Visualization

    1. Front Matter
      Pages 125-125
    2. Talita Perciano, Colleen Heinemann, David Camp, Brenton Lessley, E. Wes Bethel
      Pages 127-145
    3. James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki et al.
      Pages 146-165
  5. Emerging Technologies

    1. Front Matter
      Pages 185-185
    2. Stefanie Zbinden, Andreas Bärtschi, Hristo Djidjev, Stephan Eidenbenz
      Pages 187-206
  6. HPC Algorithms

    1. Front Matter
      Pages 207-207
    2. Noha Al-Harthi, Rabab Alomairy, Kadir Akbudak, Rui Chen, Hatem Ltaief, Hakan Bagci et al.
      Pages 209-229 Open Access
    3. Daichi Mukunoki, Katsuhisa Ozaki, Takeshi Ogita, Toshiyuki Imamura
      Pages 230-248
  7. HPC Applications

    1. Front Matter
      Pages 249-249
    2. Ioannis Nompelis, Gabriele Jost, Alice Koniges, Christopher Daley, David Eder, Christopher Stone
      Pages 270-287
    3. Sidharth Kumar, Thomas Gilray
      Pages 288-308
    4. Yuhsiang M. Tsai, Terry Cojean, Hartwig Anzt
      Pages 309-327
    5. Matthias Becker, Umesh Worlikar, Shobhit Agrawal, Hartmut Schultze, Thomas Ulas, Sharad Singhal et al.
      Pages 328-344
  8. Performance Modeling and Measurement

    1. Front Matter
      Pages 345-345
    2. Eishi Arima, Toshihiro Hanawa, Carsten Trinitis, Martin Schulz
      Pages 347-369 Open Access
    3. Johannes Seiferth, Matthias Korch, Thomas Rauber
      Pages 370-390 Open Access
    4. Ayesha Afzal, Georg Hager, Gerhard Wellein
      Pages 391-411 Open Access
    5. Christie L. Alappat, Johannes Hofmann, Georg Hager, Holger Fehske, Alan R. Bishop, Gerhard Wellein
      Pages 412-433 Open Access
    6. Jonathan R. Madsen, Muaaz G. Awan, Hugo Brunie, Jack Deslippe, Rahul Gayatri, Leonid Oliker et al.
      Pages 434-452
  9. Programming Models and Systems Software

    1. Front Matter
      Pages 453-453
    2. Philipp Samfass, Tobias Weinzierl, Benjamin Hazelwood, Michael Bader
      Pages 455-473
    3. Eishi Arima, Martin Schulz
      Pages 474-495
    4. Md. Wasi-ur- Rahman, David Ozog, James Dinan
      Pages 496-516 Open Access
    5. Mohammadreza Bayatpour, Jahanzeb Hashmi Maqbool, Sourav Chakraborty, Kaushik Kandadi Suresh, Seyedeh Mahdieh Ghazimirsaeed, Bharath Ramesh et al.
      Pages 517-535
    6. Giorgis Georgakoudis, Luanzheng Guo, Ignacio Laguna
      Pages 536-554
  10. Back Matter
    Pages 555-556

About these proceedings


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


artificial intelligence computer hardware computer networks computer programming computer systems distributed computer systems gpu hpc microprocessor chips multi core parallel algorithms parallel architectures parallel processing systems processors signal processing

Editors and affiliations

  1. 1.School of ComputingUniversity of UtahSalt Lake CityUSA
  2. 2.Cray, a Hewlett Packard Enterprise CompanySeattleUSA
  3. 3.Helmholtz-Zentrum Dresden-RossendorfDresdenGermany
  4. 4.Extreme Computing Research CenterKing Abdullah University of Science and TechnologyThuwalSaudi Arabia

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