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1997 Workshop on High-Level Programming Models and Supportive Environments (HIPS '97)
A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared
Geneva, SWITZERLAND
April 01-April 01
ISBN: 0-8186-7882-8
ASCII Text
x 
 
Michael Gerndt, Andreas Krumme, "A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared," High-Level Programming Models and Supportive Environments, International Workshop on, pp. 93, 1997 Workshop on High-Level Programming Models and Supportive Environments (HIPS '97), 1997.
 
 
BibTex
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@article{ 10.1109/HIPS.1997.582960,
author = {Michael Gerndt and Andreas Krumme},
title = {A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared},
journal ={High-Level Programming Models and Supportive Environments, International Workshop on},
volume = {0},
year = {1997},
isbn = {0-8186-7882-8},
pages = {93},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIPS.1997.582960},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - High-Level Programming Models and Supportive Environments, International Workshop on
TI - A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared
SN - 0-8186-7882-8
SP
EP
A1 - Michael Gerndt,
A1 - Andreas Krumme,
PY - 1997
VL - 0
JA - High-Level Programming Models and Supportive Environments, International Workshop on
ER -
 
Michael Gerndt, Research Centre Juelich (KFA)
Andreas Krumme, Research Centre Juelich (KFA)
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.
Citation:
Michael Gerndt, Andreas Krumme, "A Rule-based Approach for Automatic Bottleneck Detection in Programs on Shared," hips, pp.93, 1997 Workshop on High-Level Programming Models and Supportive Environments (HIPS '97), 1997
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