Comparing OpenMP Implementations with Applications Across A64FX Platforms

Benjamin Michalowicz; Eric Raut; Yan Kang; Tony Curtis; Barbara Chapman; Dossay Oryspayev

doi:10.1007/978-3-030-85262-7_9

Comparing OpenMP Implementations with Applications Across A64FX Platforms

Benjamin Michalowicz
, Eric Raut
, Yan Kang
, Tony Curtis
, Barbara Chapman
, Dossay Oryspayev

Computer Science

Stony Brook University
Brookhaven National Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The development of the A64FX processor by Fujitsu has created a massive innovation in High-Performance Computing and the birth of Fugaku: the current world’s fastest supercomputer. A variety of tools are used to analyze the run-times and performances of several applications, and in particular, how these applications scale on the A64FX processor. We examine the performance and behavior of applications through OpenMP scaling and how their performance differs across different compilers both on the new Ookami cluster at Stony Brook University as well as the Fugaku supercomputer at RIKEN in Japan.

Original language	English
Title of host publication	OpenMP
Subtitle of host publication	Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings
Editors	Simon McIntosh-Smith, Bronis R. de Supinski, Jannis Klinkenberg
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	127-141
Number of pages	15
ISBN (Print)	9783030852610
DOIs	https://doi.org/10.1007/978-3-030-85262-7_9
State	Published - 2021
Event	17th International Workshop on OpenMP, IWOMP 2021 - Bristol, United Kingdom Duration: Sep 14 2021 → Sep 16 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12870 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Workshop on OpenMP, IWOMP 2021
Country/Territory	United Kingdom
City	Bristol
Period	09/14/21 → 09/16/21

Access to Document

10.1007/978-3-030-85262-7_9

Cite this

Michalowicz, B., Raut, E., Kang, Y., Curtis, T., Chapman, B., & Oryspayev, D. (2021). Comparing OpenMP Implementations with Applications Across A64FX Platforms. In S. McIntosh-Smith, B. R. de Supinski, & J. Klinkenberg (Eds.), OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings (pp. 127-141). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12870 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-85262-7_9

Michalowicz, Benjamin ; Raut, Eric ; Kang, Yan et al. / Comparing OpenMP Implementations with Applications Across A64FX Platforms. OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. editor / Simon McIntosh-Smith ; Bronis R. de Supinski ; Jannis Klinkenberg. Springer Science and Business Media Deutschland GmbH, 2021. pp. 127-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Comparing OpenMP Implementations with Applications Across A64FX Platforms",

abstract = "The development of the A64FX processor by Fujitsu has created a massive innovation in High-Performance Computing and the birth of Fugaku: the current world{\textquoteright}s fastest supercomputer. A variety of tools are used to analyze the run-times and performances of several applications, and in particular, how these applications scale on the A64FX processor. We examine the performance and behavior of applications through OpenMP scaling and how their performance differs across different compilers both on the new Ookami cluster at Stony Brook University as well as the Fugaku supercomputer at RIKEN in Japan.",

author = "Benjamin Michalowicz and Eric Raut and Yan Kang and Tony Curtis and Barbara Chapman and Dossay Oryspayev",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 17th International Workshop on OpenMP, IWOMP 2021 ; Conference date: 14-09-2021 Through 16-09-2021",

year = "2021",

doi = "10.1007/978-3-030-85262-7\_9",

language = "English",

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Michalowicz, B, Raut, E, Kang, Y, Curtis, T, Chapman, B & Oryspayev, D 2021, Comparing OpenMP Implementations with Applications Across A64FX Platforms. in S McIntosh-Smith, BR de Supinski & J Klinkenberg (eds), OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12870 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 127-141, 17th International Workshop on OpenMP, IWOMP 2021, Bristol, United Kingdom, 09/14/21. https://doi.org/10.1007/978-3-030-85262-7_9

Comparing OpenMP Implementations with Applications Across A64FX Platforms. / Michalowicz, Benjamin; Raut, Eric; Kang, Yan et al.
OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. ed. / Simon McIntosh-Smith; Bronis R. de Supinski; Jannis Klinkenberg. Springer Science and Business Media Deutschland GmbH, 2021. p. 127-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12870 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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N2 - The development of the A64FX processor by Fujitsu has created a massive innovation in High-Performance Computing and the birth of Fugaku: the current world’s fastest supercomputer. A variety of tools are used to analyze the run-times and performances of several applications, and in particular, how these applications scale on the A64FX processor. We examine the performance and behavior of applications through OpenMP scaling and how their performance differs across different compilers both on the new Ookami cluster at Stony Brook University as well as the Fugaku supercomputer at RIKEN in Japan.

AB - The development of the A64FX processor by Fujitsu has created a massive innovation in High-Performance Computing and the birth of Fugaku: the current world’s fastest supercomputer. A variety of tools are used to analyze the run-times and performances of several applications, and in particular, how these applications scale on the A64FX processor. We examine the performance and behavior of applications through OpenMP scaling and how their performance differs across different compilers both on the new Ookami cluster at Stony Brook University as well as the Fugaku supercomputer at RIKEN in Japan.

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Michalowicz B, Raut E, Kang Y, Curtis T, Chapman B, Oryspayev D. Comparing OpenMP Implementations with Applications Across A64FX Platforms. In McIntosh-Smith S, de Supinski BR, Klinkenberg J, editors, OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 127-141. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-85262-7_9

Comparing OpenMP Implementations with Applications Across A64FX Platforms

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