DocumentCode
2035746
Title
Fast Enumeration of Solutions for Data Dependence Analysis and Data Locality Optimization
Author
Eisenbeis, C. ; Temam, O. ; Wijshoff, H.
Author_Institution
INRIA, France
Volume
3
fYear
1993
fDate
16-20 Aug. 1993
Firstpage
299
Lastpage
306
Abstract
Most of the sophisticated optimization tools dealing with data dependence analysis, parallelization and data locality exploitation cannot provide satisfactory solutions to a number of problems because they are, in general, unable to precisely handle some complex systems of linear equations coming from dependence equations between array subscripts. For such cases, these algorithms either provide rough estimates or resort to unefficient and therefore costly enumeration strategies. In this paper, we present an efficient technique, named Fast Determination, for dealing with the enumeration problem which degrades the behavior of sophisticated algorithms. Incorporating Fast Determination would enhance the performance and accuracy of existing algorithms, and widen their scope of application.
Keywords
Algorithm design and analysis; Computer science; Data analysis; Degradation; Equations; Integer linear programming; Linear algebra; Parallel processing; Testing; Tin; data dependence analysis; data locality; enumeration.; integer linear programming; linear Diophantine equations; parallelization;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 1993. ICPP 1993. International Conference on
Conference_Location
Syracuse, NY, USA
ISSN
0190-3918
Print_ISBN
0-8493-8983-6
Type
conf
DOI
10.1109/ICPP.1993.88
Filename
4134287
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