Articles | Volume 9, issue 7
Development and technical paper
05 Jul 2016
Development and technical paper |  | 05 Jul 2016

Performance evaluation of a throughput-aware framework for ensemble data assimilation: the case of NICAM-LETKF

Hisashi Yashiro, Koji Terasaki, Takemasa Miyoshi, and Hirofumi Tomita


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Hisashi Yashiro on behalf of the Authors (30 May 2016)  Author's response    Manuscript
ED: Publish as is (17 Jun 2016) by James Annan
Short summary
We propose the design and implementation of an ensemble data assimilation framework for weather prediction at a high resolution and with a large ensemble size. We consider the deployment of this framework on the data throughput of file I/O and multi-node communication. With regard to high-performance computing systems, where data throughput performance increases at a slower rate than computational performance, our new framework promises drastic reduction of total execution time.