Scientific software frameworks and grid computing: Improving programming productivity

Bill Appelbe; Louis Moresi; Steve Quenette; Patrick Sunter

doi:10.1007/978-0-387-73659-4_24

Scientific software frameworks and grid computing: Improving programming productivity

Bill Appelbe, Louis Moresi, Steve Quenette, Patrick Sunter

School of Earth Atmosphere and Environment

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

Abstract

Scientific research applications, or codes, are notoriously difficult to develop, use, and maintain. This is often because scientific software is written from scratch in traditional programming languages such as C and Fortran, by scientists rather than expert programmers. By contrast, modern commercial applications software is generally written using toolkits and software frameworks that allow new applications to be rapidly assembled from existing component libraries. In recent years, scientific software frameworks have started to appear, both for grid-enabling existing applications and for developing applications from scratch. This paper compares and contrasts existing scientific frameworks and extrapolates existing trends.

Original language	English
Title of host publication	Grid-Based Problem Solving Environments
Subtitle of host publication	IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software
Editors	Patrick W. Gaffney, James C.T. Pool
Pages	401-413
Number of pages	13
DOIs	https://doi.org/10.1007/978-0-387-73659-4_24
Publication status	Published - 3 Dec 2007
Event	IFIP TC2/ WG 2.5 Working Conference on GridBased Problem Solving Environments 2006 - Prescott, United States of America Duration: 17 Jul 2006 → 21 Jul 2006

Publication series

Name	IFIP International Federation for Information Processing
Volume	239
ISSN (Print)	1571-5736

Conference

Conference	IFIP TC2/ WG 2.5 Working Conference on GridBased Problem Solving Environments 2006
Country	United States of America
City	Prescott
Period	17/07/06 → 21/07/06

Access to Document

10.1007/978-0-387-73659-4_24

Link to publication in Scopus

Cite this

Appelbe, B., Moresi, L., Quenette, S., & Sunter, P. (2007). Scientific software frameworks and grid computing: Improving programming productivity. In P. W. Gaffney, & J. C. T. Pool (Eds.), Grid-Based Problem Solving Environments: IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software (pp. 401-413). (IFIP International Federation for Information Processing; Vol. 239). https://doi.org/10.1007/978-0-387-73659-4_24

Appelbe, Bill ; Moresi, Louis ; Quenette, Steve ; Sunter, Patrick. / Scientific software frameworks and grid computing : Improving programming productivity. Grid-Based Problem Solving Environments: IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software. editor / Patrick W. Gaffney ; James C.T. Pool. 2007. pp. 401-413 (IFIP International Federation for Information Processing).

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abstract = "Scientific research applications, or codes, are notoriously difficult to develop, use, and maintain. This is often because scientific software is written from scratch in traditional programming languages such as C and Fortran, by scientists rather than expert programmers. By contrast, modern commercial applications software is generally written using toolkits and software frameworks that allow new applications to be rapidly assembled from existing component libraries. In recent years, scientific software frameworks have started to appear, both for grid-enabling existing applications and for developing applications from scratch. This paper compares and contrasts existing scientific frameworks and extrapolates existing trends.",

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Appelbe, B, Moresi, L, Quenette, S & Sunter, P 2007, Scientific software frameworks and grid computing: Improving programming productivity. in PW Gaffney & JCT Pool (eds), Grid-Based Problem Solving Environments: IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software. IFIP International Federation for Information Processing, vol. 239, pp. 401-413, IFIP TC2/ WG 2.5 Working Conference on GridBased Problem Solving Environments 2006, Prescott, United States of America, 17/07/06. https://doi.org/10.1007/978-0-387-73659-4_24

Scientific software frameworks and grid computing : Improving programming productivity. / Appelbe, Bill; Moresi, Louis; Quenette, Steve; Sunter, Patrick.

Grid-Based Problem Solving Environments: IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software. ed. / Patrick W. Gaffney; James C.T. Pool. 2007. p. 401-413 (IFIP International Federation for Information Processing; Vol. 239).

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

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Appelbe B, Moresi L, Quenette S, Sunter P. Scientific software frameworks and grid computing: Improving programming productivity. In Gaffney PW, Pool JCT, editors, Grid-Based Problem Solving Environments: IFIP TC2/ WG 2.5 Working Conference on Grid-Based Problem Solving Environments: Implications for Development and Deployment of Numerical Software. 2007. p. 401-413. (IFIP International Federation for Information Processing). https://doi.org/10.1007/978-0-387-73659-4_24