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Regions: an abstraction for expressing array computation
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Proceedings of the conference on APL '99 : On track to the 21st century: On track to the 21st century table of contents
Scranton, Pennsylvania, United States
Pages: 41 - 49  
Year of Publication: 1999
ISBN:1-58113-126-7
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Authors
Bradford L. Chamberlain  University of Washington, Seattle, WA
E. Christopher Lewis  University of Washington, Seattle, WA
Calvin Lin  University of Texas, Austin, TX
Lawrence Snyder  University of Washington, Seattle, WA
Sponsors
NYSIGAPL : NY ACM SIGAPL Chapter
SIGAPL: ACM Special Interest Group on APL Programming Language
SIGPLAN: ACM Special Interest Group on Programming Languages
Publisher
ACM  New York, NY, USA
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ABSTRACT

Most array languages, including Fortran 90, Matlab, and APL, provide support for referencing arrays by extending the traditional array subscripting construct found in scalar languages. We present an alternative to subscripting that exploits the concept of regions---an index set representation that can be named, manipulated with high-level operators, and syntactically separated from array references. This paper develops the concept of region-based programming and describes its benefits in the context of an idealized array language called RL. We show that regions simplify programming, reduce the likelihood of errors, and enable code reuse. Furthermore, we describe how regions accentuate the locality of array expressions and how this locality is important when targeting parallel computers. We also show how the concepts of region-based programming have been used in ZPL, a fully-implemented practical parallel programming language in use by scientists and engineers. In addition, we contrast region-based programming with the array reference constructs of other array languages.


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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Jeanne C. Adams, Walter S. Brainerd, Jean T. Martin, Brian T. Smith, and Jerrold L. Wagener. Fortran 90 Handbook. McGraw-Hill, 1992.
 
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Luigi Semenzato and Paul Hilfinger. Arrays in FID1L. In Robert Grossman, editor, Symbolic Computation: Applications to Scientific Computing, pages 155-169. SIAM, 1989.
 
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C* Programming Guide, Version 6.0.2. Thinking Machines Corporation, Cambridge, Massachusetts, June 1991.


Collaborative Colleagues:
Bradford L. Chamberlain: colleagues
E. Christopher Lewis: colleagues
Calvin Lin: colleagues
Lawrence Snyder: colleagues