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Kiyoshi Otsuka

dblp:10/6123 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › scientific computing systems
atmospheric modeling		 0.012002
A 26.58 Tflops global atmospheric simulation with the spectral transform method on the Earth Simulator · SC 2002
High-performance computing
scientific computing systems		 0.012002
A 26.58 Tflops global atmospheric simulation with the spectral transform method on the Earth Simulator · SC 2002
High-performance computing › supercomputer architecture
vector supercomputer		 0.012002
A 26.58 Tflops global atmospheric simulation with the spectral transform method on the Earth Simulator · SC 2002

Methods — techniques the papers use, named apart from their topics

spectral transform method · 0.0
YearPublicationVenuePosition
2002 A 26.58 Tflops global atmospheric simulation with the spectral transform method on the Earth Simulator
abstract
A spectral atmospheric general circulation model called AFES (AGCM for Earth Simulator) was developed and optimized for the architecture of the Earth Simulator (ES). The ES is a massively parallel vector supercomputer that consists of 640 processor nodes interconnected by a single stage crossbar network with its total peak performance of 40.96 Tflops was achieved for a high resolution simulation (T1279L96) with AFES by utilizing the full 640-node configuration of the ES. The resulting computing efficiency is 64.9% of the peak performance, well surpassing that of conventional weather/climate applications having just 25-50% efficiency even on vector parallel computers. This remarkable performance proves the effectiveness of the ES as a viable means for practical applications.
Satoru Shingu, Hiroshi Takahara, Hiromitsu Fuchigami, Masayuki Yamada, Yoshinori Tsuda, Wataru Ohfuchi, Yuji Sasaki, Kazuo Kobayashi, Takashi Hagiwara, Shinichi Habata, Mitsuo Yokokawa, Hiroyuki Itoh, Kiyoshi Otsuka
 SC13