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Related papers: Ookami: An A64FX Computing Resource

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Ookami is a computer technology testbed supported by the United States National Science Foundation. It provides researchers with access to the A64FX processor developed by Fujitsu in collaboration with RIK{\Xi}N for the Japanese path to…

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…

Mathematical Software · Computer Science 2021-07-26 Benjamin Michalowicz , Eric Raut , Yan Kang , Tony Curtis , Barbara Chapman , Dossay Oryspayev

The development of the A64FX processor by Fujitsu has been a massive innovation in vectorized processors and led to Fugaku: the current world's fastest supercomputer. We use a variety of tools to analyze the behavior and performance of…

Performance · Computer Science 2021-06-21 Benjamin Michalowicz , Eric Raut , Yan Kang , Tony Curtis , Barbara Chapman , Dossay Oryspayev

The increasing availability of machines relying on non-GPU architectures, such as ARM A64FX in high-performance computing, provides a set of interesting challenges to application developers. In addition to requiring code portability across…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-18 Patrick Diehl , Gregor Daiß , Kevin Huck , Dominic Marcello , Sagiv Shiber , Hartmut Kaiser , Dirk Pflüger

The A64FX processor from Fujitsu, being designed for computational simulation and machine learning applications, has the potential for unprecedented performance in HPC systems. In this paper, we evaluate the A64FX by benchmarking against a…

Performance · Computer Science 2020-09-25 Adrian Jackson , Michèle Weiland , Nick Brown , Andrew Turner , Mark Parsons

The current number one of the TOP500 list, Supercomputer Fugaku, has demonstrated that CPU-only HPC systems aren't dead and CPUs can be used for more than just being the host controller for a discrete accelerators. While the specifications…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-03 Jens Domke

The Fujitsu A64FX ARM-based processor is used in supercomputers such as Fugaku in Japan and Isambard 2 in the UK and provides an interesting combination of hardware features such as Scalable Vector Extension (SVE), and native support for…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-20 Mosè Giordano , Milan Klöwer , Valentin Churavy

We present an expanded study of the performance of FLASH when using Linux Kernel Hugepages on Ookami, an HPE Apollo 80 A64FX platform. FLASH is a multi-scale, multi-physics simulation code written principally in modern Fortran and makes use…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-19 Catherine Feldman , Smeet Chheda , Alan C. Calder , Eva Siegmann , John Dey , Tony Curtis , Robert J. Harrison

We present efforts at improving the performance of FLASH, a multi-scale, multi-physics simulation code principally for astrophysical applications, by using huge pages on Ookami, an HPE Apollo 80 A64FX platform. FLASH is written principally…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-28 Alan C. Calder , Catherine Feldman , Eva Siegmann , John Dey , Anthony Curtis , Smeet Chheda , Robert J. Harrison

A considerable amount of research and engineering went into designing proxy applications, which represent common high-performance computing workloads, to co-design and evaluate the current generation of supercomputers, e.g., RIKEN's…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-18 Satoshi Matsuoka , Jens Domke , Mohamed Wahib , Aleksandr Drozd , Ray Bair , Andrew A. Chien , Jeffrey S. Vetter , John Shalf

We develop a workflow within the ONIOM framework and demonstrate it on the hybrid computing system consisting of the supercomputer Fugaku and the Quantinuum Reimei trapped-ion quantum computer. This hybrid platform extends the layered…

Quantum computer simulators running on classical computers are essential for developing real quantum computers and emerging quantum applications. In particular, state vector simulators, which store a full state vector in memory and update…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-31 Satoshi Imamura , Masafumi Yamazaki , Takumi Honda , Akihiko Kasagi , Akihiro Tabuchi , Hiroshi Nakao , Naoto Fukumoto , Kohta Nakashima

Bridge++ is a general-purpose code set for lattice QCD simulations aiming at a readable, extensible, and portable code while keeping practical high performance. The new version 2.0 employs machine-dependent optimization, enabling flexible…

High Energy Physics - Lattice · Physics 2023-03-13 Tatsumi Aoyama , Issaku Kanamori , Kazuyuki Kanaya , Hideo Matsufuru , Yusuke Namekawa

This article is the result of a collaboration between Fujitsu and Advestis. This collaboration aims at refactoring and running an algorithm based on systematic exploration producing investment recommendations on a high-performance computer…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-02 Philippe Cotte , Pierre Lagier , Vincent Margot , Christophe Geissler

Typically, even low-level operating system concepts, such as resource sharing strategies and predictability measures, are evaluated with Linux on PC hardware. This leaves a large gap to real industrial applications. Hence, the direct…

Operating Systems · Computer Science 2020-09-02 Oliver Horst , Uwe Baumgarten

The upcoming exascale computing systems Frontier and Aurora will draw much of their computing power from GPU accelerators. The hardware for these systems will be provided by AMD and Intel, respectively, each supporting their own GPU…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-18 Felix Wittwer , Nicholas K. Sauter , Derek Mendez , Billy K. Poon , Aaron S. Brewster , James M. Holton , Michael E. Wall , William E. Hart , Deborah J. Bard , Johannes P. Blaschke

As the demand for AI computation rapidly increases, more hardware is being developed to efficiently perform the low-precision matrix multiplications required by such workloads. However, these operations are generally not directly applicable…

Performance · Computer Science 2025-09-26 Daichi Mukunoki

We present Occamy, a 432-core RISC-V dual-chiplet 2.5D system for efficient sparse linear algebra and stencil computations on FP64 and narrow (32-, 16-, 8-bit) SIMD FP data. Occamy features 48 clusters of RISC-V cores with custom…

The Open Knowledgebase of Interatomic Models (OpenKIM) is an NSF Science Gateway that archives fully functional computer implementations of interatomic models (potentials and force fields) and simulation codes that use them to compute…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-31 Daniel S. Karls , Steven M. Clark , Brendon A. Waters , Ryan S. Elliott , Ellad B. Tadmor

We present results of a performance study of an astrophysical radiation hydrodynamics code, V2D, on the Arm-based A64FX processor developed by Fujitsu. The code solves sparse linear systems, a task for which the A64FX architecture should be…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-28 Dennis C. Smolarski , F. Douglas Swesty , Alan C. Calder
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