Parallelization of scientific applications: Data assimilation in meteorology

Y. Trémolet; F. X. Le Dimet; D. Trystram

doi:10.1007/bfb0020392

Parallelization of scientific applications: Data assimilation in meteorology

Y. Trémolet, F. X. Le Dimet, D. Trystram

Joint Center for Satellite Data Assimilation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We describe in this paper the parallehzation of data assimilation in meteorology. We present two ways of parallelizing this algorithm and report experiments and results.

Original language	English
Title of host publication	High-Performance Computing and Networking
Subtitle of host publication	Applications - International Conference and Exhibition, Proceedings
Editors	Wolfgang Gentzsch, Uwe Harms
Publisher	Springer Verlag
Pages	317-322
Number of pages	6
ISBN (Print)	9783540579809
DOIs	https://doi.org/10.1007/bfb0020392
State	Published - 1994
Event	International Conference and Exhibition on High-Performance Computing and Networking, HPCN 1994 - Munich, Germany Duration: Apr 18 1994 → Apr 20 1994

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	796 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference and Exhibition on High-Performance Computing and Networking, HPCN 1994
Country/Territory	Germany
City	Munich
Period	04/18/94 → 04/20/94

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10.1007/bfb0020392

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Trémolet, Y., Le Dimet, F. X., & Trystram, D. (1994). Parallelization of scientific applications: Data assimilation in meteorology. In W. Gentzsch, & U. Harms (Eds.), High-Performance Computing and Networking: Applications - International Conference and Exhibition, Proceedings (pp. 317-322). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 796 LNCS). Springer Verlag. https://doi.org/10.1007/bfb0020392

Trémolet, Y. ; Le Dimet, F. X. ; Trystram, D. / Parallelization of scientific applications : Data assimilation in meteorology. High-Performance Computing and Networking: Applications - International Conference and Exhibition, Proceedings. editor / Wolfgang Gentzsch ; Uwe Harms. Springer Verlag, 1994. pp. 317-322 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Parallelization of scientific applications: Data assimilation in meteorology",

abstract = "We describe in this paper the parallehzation of data assimilation in meteorology. We present two ways of parallelizing this algorithm and report experiments and results.",

author = "Y. Tr{\'e}molet and \{Le Dimet\}, \{F. X.\} and D. Trystram",

note = "Publisher Copyright: {\textcopyright} 1994, Springer Verlag. All rights reserved.; International Conference and Exhibition on High-Performance Computing and Networking, HPCN 1994 ; Conference date: 18-04-1994 Through 20-04-1994",

year = "1994",

doi = "10.1007/bfb0020392",

language = "English",

isbn = "9783540579809",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "317--322",

editor = "Wolfgang Gentzsch and Uwe Harms",

booktitle = "High-Performance Computing and Networking",

address = "Germany",

}

Trémolet, Y, Le Dimet, FX & Trystram, D 1994, Parallelization of scientific applications: Data assimilation in meteorology. in W Gentzsch & U Harms (eds), High-Performance Computing and Networking: Applications - International Conference and Exhibition, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 796 LNCS, Springer Verlag, pp. 317-322, International Conference and Exhibition on High-Performance Computing and Networking, HPCN 1994, Munich, Germany, 04/18/94. https://doi.org/10.1007/bfb0020392

Parallelization of scientific applications: Data assimilation in meteorology. / Trémolet, Y.; Le Dimet, F. X.; Trystram, D.
High-Performance Computing and Networking: Applications - International Conference and Exhibition, Proceedings. ed. / Wolfgang Gentzsch; Uwe Harms. Springer Verlag, 1994. p. 317-322 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 796 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Parallelization of scientific applications

T2 - International Conference and Exhibition on High-Performance Computing and Networking, HPCN 1994

AU - Trémolet, Y.

AU - Le Dimet, F. X.

AU - Trystram, D.

PY - 1994

Y1 - 1994

N2 - We describe in this paper the parallehzation of data assimilation in meteorology. We present two ways of parallelizing this algorithm and report experiments and results.

AB - We describe in this paper the parallehzation of data assimilation in meteorology. We present two ways of parallelizing this algorithm and report experiments and results.

UR - https://www.scopus.com/pages/publications/30244478926

U2 - 10.1007/bfb0020392

DO - 10.1007/bfb0020392

M3 - Conference contribution

AN - SCOPUS:30244478926

SN - 9783540579809

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 317

EP - 322

BT - High-Performance Computing and Networking

A2 - Gentzsch, Wolfgang

A2 - Harms, Uwe

PB - Springer Verlag

Y2 - 18 April 1994 through 20 April 1994

ER -

Trémolet Y, Le Dimet FX, Trystram D. Parallelization of scientific applications: Data assimilation in meteorology. In Gentzsch W, Harms U, editors, High-Performance Computing and Networking: Applications - International Conference and Exhibition, Proceedings. Springer Verlag. 1994. p. 317-322. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/bfb0020392

Parallelization of scientific applications: Data assimilation in meteorology

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