A rule-based approach for automatic bottleneck detection in programs on shared virtual memory systems
A rule-based approach for automatic bottleneck detection in programs on shared virtual memory systems
Programming distributed memory multiprocessors requires program parallelization as well as program optimization with respect to data locality. SVM-Fortran is a programming language for shared virtual memory architectures with special language features for specifying the distribution of parallel task...
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Personal Name(s): | Gerndt, M. (Corresponding Author) |
---|---|
Krumme, A. | |
Contributing Institute: |
Jülich Supercomputing Center; JSC Zentralinstitut für Angewandte Mathematik; ZAM |
Published in: |
Proceedings Second International Workshop on High-Level Parallel Programming Models and Supportive Environments - IEEE Computer. Soc. Press, . - ISBN 0-8186-7882-8 - doi:10.1109/HIPS.1997.582960 |
Imprint: |
IEEE Computer. Soc. Press
1997
|
Physical Description: |
93-104 |
DOI: |
10.1109/HIPS.1997.582960 |
Conference: | Second International Workshop on High-Level Parallel Programming Models and Supportive Environments, Geneva (Switzerland), 1997-04-01 - 1997-04-01 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
ohne Topic |
Publikationsportal JuSER |
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520 | |a Programming distributed memory multiprocessors requires program parallelization as well as program optimization with respect to data locality. SVM-Fortran is a programming language for shared virtual memory architectures with special language features for specifying the distribution of parallel tasks onto the processors. It is realized on top of a shared virtual memory implementation on Intel Paragon. A programming environment provides performance analysis tools helping the user in the optimization of data locality. This paper outlines the environment, describes the basic concepts of the performance analysis support, and presents a design for the automation of performance analysis. | ||
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