Ookami: An A64FX Computing Resource

A. C. Calder; E. Siegmann; C. Feldman; S. Chheda; D. C. Smolarski; F. D. Swesty; A. Curtis; J. Dey; D. Carlson; B. Michalowicz; R. J. Harrison

doi:10.1088/1742-6596/2742/1/012019

Ookami: An A64FX Computing Resource

A. C. Calder
, E. Siegmann
, C. Feldman
, S. Chheda
, D. C. Smolarski
, F. D. Swesty
, A. Curtis
, J. Dey
, D. Carlson
, B. Michalowicz
, R. J. Harrison

Stony Brook University
Santa Clara University
Ohio State University

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fujitsu and deployed in the Japanese supercomputer Fugaku. We provide an overview of the project and details of the hardware, and describe the user base and education/training program. We present highlights from previous performance studies of two astrophysical simulation codes and present a strong scaling study of a full 3D supernova simulation as an example of the the machine’s capability.

Original language	English
Article number	012019
Journal	Journal of Physics: Conference Series
Volume	2742
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/2742/1/012019
State	Published - 2024
Event	15th International Conference on Numerical Modeling of Space Plasma Flows, ASTRONUM 2023 - Pasadena, United States Duration: Jun 26 2023 → Jun 30 2023

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title = "Ookami: An A64FX Computing Resource",

abstract = "We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fujitsu and deployed in the Japanese supercomputer Fugaku. We provide an overview of the project and details of the hardware, and describe the user base and education/training program. We present highlights from previous performance studies of two astrophysical simulation codes and present a strong scaling study of a full 3D supernova simulation as an example of the the machine{\textquoteright}s capability.",

author = "Calder, \{A. C.\} and E. Siegmann and C. Feldman and S. Chheda and Smolarski, \{D. C.\} and Swesty, \{F. D.\} and A. Curtis and J. Dey and D. Carlson and B. Michalowicz and Harrison, \{R. J.\}",

note = "Publisher Copyright: {\textcopyright} 2024 Institute of Physics Publishing. All rights reserved.; 15th International Conference on Numerical Modeling of Space Plasma Flows, ASTRONUM 2023 ; Conference date: 26-06-2023 Through 30-06-2023",

year = "2024",

doi = "10.1088/1742-6596/2742/1/012019",

language = "English",

volume = "2742",

journal = "Journal of Physics: Conference Series",

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TY - JOUR

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T2 - 15th International Conference on Numerical Modeling of Space Plasma Flows, ASTRONUM 2023

AU - Calder, A. C.

AU - Siegmann, E.

AU - Feldman, C.

AU - Chheda, S.

AU - Smolarski, D. C.

AU - Swesty, F. D.

AU - Curtis, A.

AU - Dey, J.

AU - Carlson, D.

AU - Michalowicz, B.

AU - Harrison, R. J.

PY - 2024

Y1 - 2024

N2 - We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fujitsu and deployed in the Japanese supercomputer Fugaku. We provide an overview of the project and details of the hardware, and describe the user base and education/training program. We present highlights from previous performance studies of two astrophysical simulation codes and present a strong scaling study of a full 3D supernova simulation as an example of the the machine’s capability.

AB - We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fujitsu and deployed in the Japanese supercomputer Fugaku. We provide an overview of the project and details of the hardware, and describe the user base and education/training program. We present highlights from previous performance studies of two astrophysical simulation codes and present a strong scaling study of a full 3D supernova simulation as an example of the the machine’s capability.

UR - https://www.scopus.com/pages/publications/85191969860

U2 - 10.1088/1742-6596/2742/1/012019

DO - 10.1088/1742-6596/2742/1/012019

M3 - Conference article

AN - SCOPUS:85191969860

SN - 1742-6588

VL - 2742

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012019

Y2 - 26 June 2023 through 30 June 2023

ER -

Ookami: An A64FX Computing Resource

Abstract

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