A preliminary evaluation of high-performance advanced regional eta-coordinate model (H-AREM)

Yu Feng CHENG; You Ping XU; Li Juan LI; Bin WANG

doi:10.1080/16742834.2017.1248755

A preliminary evaluation of high-performance advanced regional eta-coordinate model (H-AREM)

Yu Feng CHENG
, You Ping XU
, Li Juan LI
, Bin WANG

Computational Earth Sciences Group

Research output: Contribution to journal › Article › peer-review

Abstract

This paper preliminarily evaluates the speedup, scalability, and prediction skill of the high-performance advanced regional eta coordinate model (H-AREM), which is based on several parallel processing methods and decomposition strategies. Results show that the parallel version of the model that is based on a modular parallel framework and a multidimensional domain decomposition strategy performs better overall, e.g. it is faster and more scalable than the version based on a message passing interface and a one-dimensional decomposition strategy. In particular, the scalability of the H-AREM with a resolution of 8 km approaches 8099 cores. Moreover, in the H-AREM, higher resolutions result in more realistic precipitation predictions without remarkable increases in simulation time.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	Atmospheric and Oceanic Science Letters
Volume	10
Issue number	1
DOIs	https://doi.org/10.1080/16742834.2017.1248755
State	Published - Jan 2 2017

Funding

This work is jointly supported by the National Basic Research Program of China (973 Program) [grant number 6131270305]; the Ministry of Water Resources’ special research grant for non-profit public service [grant number 201301062-02]; the National Natural Science Foundation of China [grant number 61572058]; the Strategic Priority Research Program of the Chinese Academy of Sciences [grant number XDA05110304]. This work is jointly supported by the National Basic Research Program of China (973 Program) [grant number 6131270305]; the Ministry of Water Resources? special research grant for non-profit public service [grant number 201301062-02]; the National Natural Science Foundation of China [grant number 61572058]; the Strategic Priority Research Program of the Chinese Academy of Sciences [grant number XDA05110304]. We would like to thank Rui CHENG of the Beijing Institute of Applied Meteorology and Ye PU of LASG/IAP for help with AREM and parallel computation, and Hong GUO of the Beijing Institute of Applied Physics and Computational Mathematics for the parallel computation test and help with the JASMIN framework.

Keywords

AREM
parallel computation
scalability
speed-up

Access to Document

10.1080/16742834.2017.1248755

Cite this

@article{2324e86846974ef5834cd397b3098569,

title = "A preliminary evaluation of high-performance advanced regional eta-coordinate model (H-AREM)",

abstract = "This paper preliminarily evaluates the speedup, scalability, and prediction skill of the high-performance advanced regional eta coordinate model (H-AREM), which is based on several parallel processing methods and decomposition strategies. Results show that the parallel version of the model that is based on a modular parallel framework and a multidimensional domain decomposition strategy performs better overall, e.g. it is faster and more scalable than the version based on a message passing interface and a one-dimensional decomposition strategy. In particular, the scalability of the H-AREM with a resolution of 8 km approaches 8099 cores. Moreover, in the H-AREM, higher resolutions result in more realistic precipitation predictions without remarkable increases in simulation time.",

keywords = "AREM, parallel computation, scalability, speed-up",

author = "CHENG, \{Yu Feng\} and XU, \{You Ping\} and LI, \{Li Juan\} and Bin WANG",

note = "Publisher Copyright: {\textcopyright} 2016, {\textcopyright} 2016 The Author(s). Published by Informa UK Limited, trading as Taylor \& Francis Group.",

year = "2017",

month = jan,

day = "2",

doi = "10.1080/16742834.2017.1248755",

language = "English",

volume = "10",

pages = "1--8",

journal = "Atmospheric and Oceanic Science Letters",

issn = "1674-2834",

number = "1",

}

TY - JOUR

T1 - A preliminary evaluation of high-performance advanced regional eta-coordinate model (H-AREM)

AU - CHENG, Yu Feng

AU - XU, You Ping

AU - LI, Li Juan

AU - WANG, Bin

PY - 2017/1/2

Y1 - 2017/1/2

N2 - This paper preliminarily evaluates the speedup, scalability, and prediction skill of the high-performance advanced regional eta coordinate model (H-AREM), which is based on several parallel processing methods and decomposition strategies. Results show that the parallel version of the model that is based on a modular parallel framework and a multidimensional domain decomposition strategy performs better overall, e.g. it is faster and more scalable than the version based on a message passing interface and a one-dimensional decomposition strategy. In particular, the scalability of the H-AREM with a resolution of 8 km approaches 8099 cores. Moreover, in the H-AREM, higher resolutions result in more realistic precipitation predictions without remarkable increases in simulation time.

AB - This paper preliminarily evaluates the speedup, scalability, and prediction skill of the high-performance advanced regional eta coordinate model (H-AREM), which is based on several parallel processing methods and decomposition strategies. Results show that the parallel version of the model that is based on a modular parallel framework and a multidimensional domain decomposition strategy performs better overall, e.g. it is faster and more scalable than the version based on a message passing interface and a one-dimensional decomposition strategy. In particular, the scalability of the H-AREM with a resolution of 8 km approaches 8099 cores. Moreover, in the H-AREM, higher resolutions result in more realistic precipitation predictions without remarkable increases in simulation time.

KW - AREM

KW - parallel computation

KW - scalability

KW - speed-up

UR - https://www.scopus.com/pages/publications/85075716435

U2 - 10.1080/16742834.2017.1248755

DO - 10.1080/16742834.2017.1248755

M3 - Article

AN - SCOPUS:85075716435

SN - 1674-2834

VL - 10

SP - 1

EP - 8

JO - Atmospheric and Oceanic Science Letters

JF - Atmospheric and Oceanic Science Letters

IS - 1

ER -

A preliminary evaluation of high-performance advanced regional eta-coordinate model (H-AREM)

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this