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Program-Based Locality Measures for Scientific Computing
Nice, France April 22-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213306International Parallel and Distribute ...
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Thomas Rauber, Gudula Rünger, "Program-Based Locality Measures for Scientific Computing," Parallel and Distributed Processing Symposium, International, pp. 164b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
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@article{ 10.1109/IPDPS.2003.1213306,
author = {Thomas Rauber and Gudula Rünger},
title = {Program-Based Locality Measures for Scientific Computing},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {164b},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213306},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Program-Based Locality Measures for Scientific Computing
SN - 1530-2075
SP
EP
A1 - Thomas Rauber,
A1 - Gudula Rünger,
PY - 2003
KW - locality improvement
KW - memory references
KW - cost measure
KW - storage hierarchy
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
Thomas Rauber, Universität Bayreuth
Gudula Rünger, Technische Universität Chemnitz
Numerical software for sequential or parallel machines with memory hierarchies can benefit from locality optimizations which are usually achieved by program restructuring or program transformations. In this paper we introduce and discuss program-based locality measures which can be used to guide the restructuring and transformation process at the program level. As example we consider a popular solution method to solve ordinary differential equations provided in many scientific libraries.
Index Terms:
locality improvement, memory references, cost measure, storage hierarchy
Citation:
Thomas Rauber, Gudula Rünger, "Program-Based Locality Measures for Scientific Computing," ipdps, pp.164b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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