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Title

Performance optimization of FrontFlow/blue (FFB).

Details
Date Mon, Dec 7, 2020
Time 4 pm - 4:20 pm
( 5 pm - 5:20 pm Discussion (speakers are requested to participate; we will take a 1 - 2 min. break before the discussion), 5:20 pm - Free discussion (optional))
City Online
Place

Online seminar on BlueJeans

  • If you are not affiliated with R-CCS and would like to attend R-CCS Cafe, please email us at r-ccs-cafe[at]ml.riken.jp.
Language Presentation Language: English
Presentation Material: English
Speakers

Kazuo Minami

Unit Leader, Application Tuning Development Unit

photo: Kazuo Minami (Unit Leader, Application Tuning Development Unit)

Abstract

A general-purpose Finite-Element flow solver, named FrontFlow/blue (FFB),has been fully optimized so as to achieve maximum possible sustained memory throughputs with three of its four hot kernels, and was nominated for the Gordon Bell Award finalist at SC20.A single-node sustained performance of 179.0 GFLOPS, which corresponds to5.3% of the peak performance, has been achieved on Fugaku, the next flagship computer of Japan. A weak-scale benchmark test has confirmed that FFB runs with a parallel efficiency of over 85% using full nodes of the Fugaku supercomputer, and an overall sustained performance of 22.6 PFLOPS has been achieved. In this presentation, I will report on FFB performance optimization.

Important Notes

  • Please turn off your video and microphone when you join the meeting.
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  • The program schedule and contents may be modified without prior notice.
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(Nov 30, 2020)