Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach-Reference-Cited by-同舟云学术

Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach

Published:2001 Issue: Volume: Page:751-760
ISSN:0302-9743
Container-title:Computational Science - ICCS 2001
language:
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Author:

Brunst Holger,Winkler Manuela,Nagel Wolfgang E.,Hoppe Hans-Christian

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45718-6_80

Reference21 articles.

1. D. J. Becker, T. Sterling, D. Saverese, J. E. Dorband, U. A. Ranawak, and C. V. Packer. Beowulf: A Parallel Workstation for Scientific Computation. In Proceedings, International Conference on Parallel Processing, 1995. http://www.beofulf.org .

2. S. Bova, C. Breshears, H. Gabb, R. Eigenmann, G. Gaertner, B. Kuhn, B. Magro, and S. Salvini. Parallel programming with message passing and directives. SIAM News, 11 1999.

3. S. Browne, J. Dongarra, and K. London. Review of performance analysis tools for mpi parallel programs. http://www.cs.utk.edu/~browne/perftools-review .

4. Technical report;B. Buck,1998

5. Cray Research. Introducing the MPP Apprentice Tool, IN-2511 3.0 edition, 1997.

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