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

^*Corresponding author for this work

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

1 Citation (Scopus)

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 - 2007
Externally published	Yes

Publication series

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

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

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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 et al. / 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.",

author = "Bill Appelbe and Louis Moresi and Steve Quenette and Patrick Sunter",

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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. 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 et al.
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 contribution › peer-review

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N2 - 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. 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). doi: 10.1007/978-0-387-73659-4_24

Scientific software frameworks and grid computing: Improving programming productivity

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