Performance Evaluation of SX-Aurora TSUBASA and Its QA-Assisted Application Design

Hiroaki Kobayashi () and Kazuhiko Komatsu ()
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Hiroaki Kobayashi: Tohoku University
Kazuhiko Komatsu: Tohoku University

A chapter in Sustained Simulation Performance 2019 and 2020, 2021, pp 3-20 from Springer

Abstract: Abstract In this article, we present an overview of our on-going project entitled, R&D of a Quantum-Annealing Assisted Next Generation HPC Infrastructure and its Applications. We describes our system design concept of a new computing infrastructure toward the Post-Moore era by the integration of classical HPC engines and a quantum-annealing engine as a single system image and a realization of the ensemble of domain specific architectures. We also present the performance evaluation of SX-Aurora TSUBASA, which is the central system of this infrastructure, by using world well-known benchmark kernels. Here we discuss its sustained performance, power-efficiency, and scalability of vector engines of SX-Aurora TSUBASA by using HPL, Himeno and HPCG benchmarks. Moreover, As an example of the quantum annealing assisted application design, we present how a quantum annealing data processing mechanism is introduced into a large scale data-clustering.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-68049-7_1

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DOI: 10.1007/978-3-030-68049-7_1

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