Optimizing memory layout of hyperplane ordering for vector supercomputer SX-aurora TSUBASA

Osamu Watanabe, Yuta Hougi, Kazuhiko Komatsu, Masayuki Sato, Akihiro Musa, Hiroaki Kobayashi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper describes the performance optimization of hyperplane ordering methods applied to the high cost routine of the turbine simulation code called 'Numerical Turbine' for the newest vector supercomputer. The Numerical Turbine code is a computational fluid dynamics code developed at Tohoku University, which can execute large-scale parallel calculation of the entire thermal flow through multistage cascades of gas and steam turbines. The Numerical Turbine code is a memory- intensive application that requires a high memory bandwidth to achieve a high sustained performance. For this reason, it is implemented in a vector supercomputer equipped with a high-performance memory subsystem. The main performance bottleneck of the Numerical Turbine code is the time-integration routine. To vectorize the lower-upper symmetric Gauss-Seidel method used in this time integration routine, a hyperplane ordering method is used. We clarify the problems of the current hyperplane ordering methods for the newest vector supercom- puter NEC SX-Aurora TSUBASA and propose an optimized hyperplane ordering method that changes the data layout in the memory to resolve this bottleneck. Through the performance evaluation, it is clarified that the proposed hyperplane ordering can achieve further improvement of the performance by up to 2.77×, and 1.27× on average.

本文言語English
ホスト出版物のタイトルProceedings of MCHPC 2019
ホスト出版物のサブタイトルWorkshop on Memory Centric High Performance Computing - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis
出版社Institute of Electrical and Electronics Engineers Inc.
ページ25-32
ページ数8
ISBN(電子版)9781728160078
DOI
出版ステータスPublished - 2019 11
イベント2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, MCHPC 2019 - Denver, United States
継続期間: 2019 11 18 → …

出版物シリーズ

名前Proceedings of MCHPC 2019: Workshop on Memory Centric High Performance Computing - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, MCHPC 2019
CountryUnited States
CityDenver
Period19/11/18 → …

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Control and Optimization

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