| An array operation synthesis scheme to optimize Fortran 90 programs |
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Principles and Practice of Parallel Programming
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Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming
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Santa Barbara, California, United States
Pages: 112 - 122
Year of Publication: 1995
ISBN:0-89791-701-6
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Authors
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Gwan-Hwan Hwang
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Department of Computer Science, National Tsing-Hua University, Taiwan
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Jenq Kuen Lee
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Department of Computer Science, National Tsing-Hua University, Taiwan
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Dz-Ching Ju
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Hewlett-Packard Company, Cupertino, CA
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Downloads (6 Weeks): 5, Downloads (12 Months): 47, Citation Count: 7
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ABSTRACT
An increasing number of programming languages, such as Fortran 90 and APL, are providing a rich set of intrinsic array functions and array expressions. These constructs which constitute an important part of data parallel languages provide excellent opportunities for compiler optimizations. In this paper, we present a new approach to combine consecutive data access patterns of array constructs into a composite access function to the source arrays. Our scheme is based on the composition of access functions, which is similar to a composition of mathematic functions. Our new scheme can handle not only data movements of arrays of different numbers of dimensions and segmented array operations but also masked array expressions and multiple sources array operations. As a result, our proposed scheme is the first synthesis scheme which can synthesize Fortran 90 RESHAPE, EOSHIFT, MERGE, and WHERE constructs together. Experimental results show speedups from 1.21 to 2.95 for code fragments from real applications on a Sequent multiprocessor machine by incorporating the proposed optimizations.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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