DocumentCode :
921327
Title :
Demonstration of automatic data partitioning techniques for parallelizing compilers on multicomputers
Author :
Gupta, Manish ; Banerjee, Prithviraj
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Volume :
3
Issue :
2
fYear :
1992
fDate :
3/1/1992 12:00:00 AM
Firstpage :
179
Lastpage :
193
Abstract :
An approach to the problem of automatic data partitioning is introduced. The notion of constraints on data distribution is presented, and it is shown how, based on performance considerations, a compiler identifies constraints to be imposed on the distribution of various data structures. These constraints are then combined by the compiler to obtain a complete and consistent picture of the data distribution scheme, one that offers good performance in terms of the overall execution time. Results of a study performed on Fortran programs taken from the Linpack and Eispack libraries and the Perfect Benchmarks to determine the applicability of the approach to real programs are presented. The results are very encouraging, and demonstrate the feasibility of automatic data partitioning for programs with regular computations that may be statically analyzed, which covers an extremely significant class of scientific application programs
Keywords :
data structures; parallel programming; program compilers; Eispack libraries; Fortran programs; Linpack; Perfect Benchmarks; automatic data partitioning; constraints; data distribution; data structures; multicomputers; parallelizing compilers; scientific application programs; Context; Costs; Data structures; Libraries; NASA; Parallel languages; Program processors; Programming profession; Scalability;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/71.127259
Filename :
127259
Link To Document :
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