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  Cactus Tools for Grid Applications

Allen, G., Benger, W., Dramlitsch, T., Goodale, T., Hege, H.-C., Lanfermann, G., et al. (2001). Cactus Tools for Grid Applications. Cluster Computing, 4(3), 179-188.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-55E5-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-55E6-4
Genre: Journal Article

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2700.pdf (Publisher version), 386KB
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 Creators:
Allen, Gabrielle1, Author
Benger, Werner1, Author
Dramlitsch, Thomas1, Author
Goodale, Tom1, Author
Hege, Hans-Christian, Author
Lanfermann, Gerd1, Author
Merzky, Andre, Author
Radke, Thomas2, Author              
Seidel, Edward1, Author
Shalf, John, Author
Affiliations:
1Cactus Group, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, escidoc:67202              
2Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, escidoc:24013              

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 Abstract: Cactus is an open source problem solving environment designed for scientists and engineers. Its modular structure facilitates parallel computation across different architectures and collaborative code development between different groups. The Cactus Code originated in the academic research community, where it has been developed and used over many years by a large international collaboration of physicists and computational scientists. We discuss here how the intensive computing requirements of physics applications now using the Cactus Code encourage the use of distributed and metacomputing, and detail how its design makes it an ideal application test-bed for Grid computing. We describe the development of tools, and the experiments which have already been performed in a Grid environment with Cactus, including distributed simulations, remote monitoring and steering, and data handling and visualization. Finally, we discuss how Grid portals, such as those already developed for Cactus, will open the door to global computing resources for scientific users.

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Language(s): eng - English
 Dates: 2001
 Publication Status: Published in print
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 Identifiers: eDoc: 2700
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Title: Cluster Computing
Source Genre: Journal
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Pages: - Volume / Issue: 4 (3) Sequence Number: - Start / End Page: 179 - 188 Identifier: -