Large-scale numerical weather prediction on GPU supercomputer: 145.0 TFlops with 3990 GPUs on TSUBAME 2.0

Takayuki Aoki, Takashi Shimokawabe

Publikation: Beitrag in Buch/Bericht/KonferenzbandKapitelBegutachtung

3 Zitate (Scopus)

Abstract

In order to drastically shorten the runtime of a weather prediction code ASUCA developed by the JMA (Japan Meteorological Agency) for the purpose of the next-generation weather forecasting service, the entire parts of the huge code are re-written for GPU computing from scratch. By introducing many optimization techniques and several new algorithms, very high performance of 145 TFlops has been achieved with 3990 GPUs on the TSUBAME 2.0 supercomputer. It is quite meaningful to show that the GPU supercomputing is really available for one of the major applications in the HPC field.

OriginalspracheEnglisch
TitelLecture Notes in Earth System Sciences
Herausgeber (Verlag)Springer International Publishing
Seiten261-270
Seitenumfang10
Auflage9783642164040
DOIs
PublikationsstatusVeröffentlicht - 2013
Extern publiziertJa

Publikationsreihe

NameLecture Notes in Earth System Sciences
Nummer9783642164040
Band0
ISSN (Print)2193-8571
ISSN (elektronisch)2193-858X

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