DocumentCode
2159381
Title
Data compiling for systems of affine recurrence equations
Author
Mongenet, Catherine
Author_Institution
Dept. d´´Inf., Univ. Louis Pasteur, Strasbourg, France
fYear
1994
fDate
22-24 Aug 1994
Firstpage
212
Lastpage
223
Abstract
In order to get a parallel solution from a system of affine recurrence equations, a space-time transformation must first be determined. Such a transformation is characterized by a schedule and an allocation. In the context of data parallelism, efficient compilers require among other criteria appropriate data compiling techniques. These techniques should take into account the communication primitives of the target architecture (in particular broadcast primitives if any) and minimize the number of communications. The objective of this paper is to deal with these two questions (efficient use of broadcast capabilities and communication minimization) in order to determine efficient space-time transformations from systems of affine recurrence equations
Keywords
equations; parallel algorithms; parallel programming; program compilers; programming theory; affine recurrence equations; broadcast capabilities; broadcast primitives; communication minimization; compilers; data compiling; data compiling techniques; data parallelism; parallel solution; schedule; space-time transformation; space-time transformations; Broadcasting; Computer architecture; Context modeling; Difference equations; Parallel architectures; Parallel processing; Parallel programming; Power system modeling; Processor scheduling; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Application Specific Array Processors, 1994. Proceedings. International Conference on
Conference_Location
San Francisco, CA
ISSN
1063-6862
Print_ISBN
0-8186-6517-3
Type
conf
DOI
10.1109/ASAP.1994.331802
Filename
331802
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