Contribution to a conference proceedings/Contribution to a book FZJ-2014-04388

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A rule-based approach for automatic bottleneck detection in programs on shared virtual memory systems

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1997
IEEE Computer. Soc. Press

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
Second International Workshop on High-Level Parallel Programming Models and Supportive Environments, HIPS'97, GenevaGeneva, Switzerland, 1 Apr 1997 - 1 Apr 19971997-04-011997-04-01
IEEE Computer. Soc. Press 93-104 () [10.1109/HIPS.1997.582960]

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Abstract: 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.


Contributing Institute(s):
  1. Zentralinstitut für Angewandte Mathematik (ZAM)
  2. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 899 - ohne Topic (POF2-899) (POF2-899)

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 Record created 2014-08-18, last modified 2021-01-29


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