SymGrid-Par: Designing a framework for executing computational algebra systems on computational grids

Abdallah Al Zain; Kevin Hammond; Phil Trinder; Steve Linton; Hans Wolfgang Loidl; Marco Costanti

SymGrid-Par: Designing a framework for executing computational algebra systems on computational grids

Abdallah Al Zain, Kevin Hammond, Phil Trinder, Steve Linton, Hans Wolfgang Loidl, Marco Costanti

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

Abstract

SymGrid-Par is a new framework for executing large computer algebra problems on computational Grids. We present the design of SymGrid-Par, which supports multiple computer algebra packages, and hence provides the novel possibility of composing a system using components from different packages. Orchestration of the components on the Grid is provided by a Grid-enabled parallel Haskell (GPH). We present a prototype implementation of a core component of SymGridPar, together with promising measurements of two programs on a modest Grid to demonstrate the feasibility of our approach. © Springer-Verlag Berlin Heidelberg 2007.

Original language	English
Title of host publication	Computational Science - ICCS 2007 - 7th International Conference, Proceedings
Pages	617-624
Number of pages	8
Volume	4488 LNCS
Edition	PART 2
Publication status	Published - 2007
Event	7th International Conference on Computational Science - Beijing, China Duration: 27 May 2007 → 30 May 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4488 LNCS
ISSN (Print)	0302-9743

Conference

Conference	7th International Conference on Computational Science
Abbreviated title	ICCS 2007
Country/Territory	China
City	Beijing
Period	27/05/07 → 30/05/07

Cite this

Al Zain, A., Hammond, K., Trinder, P., Linton, S., Loidl, H. W., & Costanti, M. (2007). SymGrid-Par: Designing a framework for executing computational algebra systems on computational grids. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings (PART 2 ed., Vol. 4488 LNCS, pp. 617-624). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4488 LNCS, No. PART 2).

Al Zain, Abdallah ; Hammond, Kevin ; Trinder, Phil et al. / SymGrid-Par : Designing a framework for executing computational algebra systems on computational grids. Computational Science - ICCS 2007 - 7th International Conference, Proceedings. Vol. 4488 LNCS PART 2. ed. 2007. pp. 617-624 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "SymGrid-Par is a new framework for executing large computer algebra problems on computational Grids. We present the design of SymGrid-Par, which supports multiple computer algebra packages, and hence provides the novel possibility of composing a system using components from different packages. Orchestration of the components on the Grid is provided by a Grid-enabled parallel Haskell (GPH). We present a prototype implementation of a core component of SymGridPar, together with promising measurements of two programs on a modest Grid to demonstrate the feasibility of our approach. {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.",

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year = "2007",

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

number = "PART 2",

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Al Zain, A, Hammond, K, Trinder, P, Linton, S, Loidl, HW & Costanti, M 2007, SymGrid-Par: Designing a framework for executing computational algebra systems on computational grids. in Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 2 edn, vol. 4488 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4488 LNCS, pp. 617-624, 7th International Conference on Computational Science, Beijing, China, 27/05/07.

SymGrid-Par : Designing a framework for executing computational algebra systems on computational grids. / Al Zain, Abdallah; Hammond, Kevin; Trinder, Phil et al.

Computational Science - ICCS 2007 - 7th International Conference, Proceedings. Vol. 4488 LNCS PART 2. ed. 2007. p. 617-624 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4488 LNCS, No. PART 2).

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

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AU - Hammond, Kevin

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AU - Linton, Steve

AU - Loidl, Hans Wolfgang

AU - Costanti, Marco

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AB - SymGrid-Par is a new framework for executing large computer algebra problems on computational Grids. We present the design of SymGrid-Par, which supports multiple computer algebra packages, and hence provides the novel possibility of composing a system using components from different packages. Orchestration of the components on the Grid is provided by a Grid-enabled parallel Haskell (GPH). We present a prototype implementation of a core component of SymGridPar, together with promising measurements of two programs on a modest Grid to demonstrate the feasibility of our approach. © Springer-Verlag Berlin Heidelberg 2007.

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SN - 9783540725855

VL - 4488 LNCS

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

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BT - Computational Science - ICCS 2007 - 7th International Conference, Proceedings

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Al Zain A, Hammond K, Trinder P, Linton S, Loidl HW, Costanti M. SymGrid-Par: Designing a framework for executing computational algebra systems on computational grids. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 2 ed. Vol. 4488 LNCS. 2007. p. 617-624. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

SymGrid-Par: Designing a framework for executing computational algebra systems on computational grids

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