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A Reflection on Methodologies, Algorithms and Software for HPDC

Published: 27 June 2022 Publication History

Abstract

The core of the HPDC research and the main scientific contributions push forward the state of the art in how to program and execute parallel and distributed applications and analysis faster, more efficiently, more reliably, and in a more secure way. Researchers in our domain are facing two important challenges when transforming an idea into an innovative algorithm and an innovative algorithm into a successful software: evaluation methodology and software engineering. These challenges arise, in particular, every time a new branch of HPDC research topic emerges. In this talk, I will discuss the relation between methodology, algorithms, and software for HPDC. I will specifically focus on three domains: experimental platforms for HPDC research, fault tolerance at extreme scale, and lossy compression for scientific data. For these three domains, I will review the motivations behind the research, the current situation, and what I see as the potential next directions.

References

[1]
F. Cappello, E. Caron. M. Dayde, F. Desprez, E. Jeannot, Y. Jegou, S. Lanteri, J. Leduc, N. Melab, G. Mornet, R. Namyst, P. Primet, and O. Richard. Grid'5000: a large scale, reconfigurable, controllable and monitorable Grid platform. In International Workshop on Grid Computing, Seattle, USA, Nov 2005.
[2]
F. Cappello, A. Geist, B. Gropp, B. Kramer, M. Snir, Toward Exascale Resilience: 2014 update, International Journal on Supercomputing Frontiers and Innovations, 1, no. 1, 5--28, 2014.
[3]
F. Cappello, S. Di, S. Li,2 X. Liang, A. Murat Gok, D. Tao, X.-C. Wu,6 Y. Alexeev, F. T. Chong, Use-cases of lossy compression for floating-point data in scientific datasets, IJHPCA, Vol 33, Issue 6, 2019

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Published In

cover image ACM Conferences
HPDC '22: Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
June 2022
314 pages
ISBN:9781450391993
DOI:10.1145/3502181
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2022

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Author Tags

  1. and software for parallel and distributed computing fault-tolerance and compression of scientific data.
  2. methodologies, algorithms

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  • Keynote

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HPDC '22

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Overall Acceptance Rate 166 of 966 submissions, 17%

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