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Numerical libraries and the grid: the GrADS experiments with ScaLAPACK
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 2001 ACM/IEEE conference on Supercomputing (CDROM) table of contents
Denver, Colorado
Pages: 14 - 14  
Year of Publication: 2001
ISBN:1-58113-293-X
Authors
Antoine Petitet  Sun France Benchmark Center, Paris, France
Susan Blackford  University of Tennessee, Knoxville TN
Jack Dongarra  University of Tennessee, Knoxville TN
Brett Ellis  University of Tennessee, Knoxville TN
Graham Fagg  University of Tennessee, Knoxville TN
Kenneth Roche  University of Tennessee, Knoxville TN
Sathish Vadhiyar  University of Tennessee, Knoxville TN
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE-CS\DATC : IEEE Computer Society
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 14,   Citation Count: 7
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ABSTRACT

This paper describes an overall framework for the design of numerical libraries on a computational Grid of processors where the processors may be geographically distributed and under the control of a Grid-based scheduling system. A set of experiments are presented in the context of solving systems of linear equations using routines from the ScaLAPACK software collection along with various grid service components, such as Globus, NWS, and Autopilot.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Berman, F., et al., The GrADS Project: Software Support for High-Level Grid Application Development. 2000, Rice University: Houston, Texas.
 
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Balay, S., et al., PETSc 2.0 Users' Manual. 1996, Argonne National Laboratory: Argonne, IL.
 
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Foster, I. and C. Kesselman, Globus: A Metacomputing Infrastructure Toolkit. Intl J. Supercomputer Applications, 1997. 11(2): p. 115-128.
 
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Gropp, W. and W. Lusk, Users' Guide for mpich, a Portable Implementation of MPI. 1996, Mathematics and Computer Science Division, Argonne National Laboratory.
 
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Whaley, R., A. Petitet, and J. Dongarra, Automated Empirical Optimization of Software and the ATLAS Project. Parallel Computing, 2001. 27(1-2): p. 3-25.

CITED BY  7

Collaborative Colleagues:
Antoine Petitet: colleagues
Susan Blackford: colleagues
Jack Dongarra: colleagues
Brett Ellis: colleagues
Graham Fagg: colleagues
Kenneth Roche: colleagues
Sathish Vadhiyar: colleagues