High performance fortran without templates: An alternative model for distribution and alignment

Barbara M. Chapman; Piyush Mehrotra; Hans P. Zima

doi:10.1145/155332.155342

High performance fortran without templates: An alternative model for distribution and alignment

Barbara M. Chapman
, Piyush Mehrotra
, Hans P. Zima

Computer Science

NASA Langley Research Center
University of Vienna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Language extensions of Fortran are being developed which permit the user to map data structures to the individual processors of distributed memory machines. These languages allow a programming style in which global data references are used. Current efforts are fo-cussed on designing a common basis for such languages, the result of which is known as High Performance For-tran (HPF). One of the central debates in the HPF effort revolves around the concept of templates, introduced as an abstract index space to which data could be aligned. In this paper, we present a model for the mapping of data which provides the functionality of High Performance Fortran distributions without the use of templates.

Original language	English
Title of host publication	Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993
Publisher	Association for Computing Machinery
Pages	92-101
Number of pages	10
ISBN (Electronic)	0897915895
DOIs	https://doi.org/10.1145/155332.155342
State	Published - Aug 1 1993
Event	4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993 - San Diego, United States Duration: May 19 1993 → May 22 1993

Publication series

Name	Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
Volume	Part F129677

Conference

Conference	4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993
Country/Territory	United States
City	San Diego
Period	05/19/93 → 05/22/93

Access to Document

10.1145/155332.155342

Cite this

Chapman, B. M., Mehrotra, P., & Zima, H. P. (1993). High performance fortran without templates: An alternative model for distribution and alignment. In Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993 (pp. 92-101). (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP; Vol. Part F129677). Association for Computing Machinery. https://doi.org/10.1145/155332.155342

Chapman, Barbara M. ; Mehrotra, Piyush ; Zima, Hans P. / High performance fortran without templates : An alternative model for distribution and alignment. Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993. Association for Computing Machinery, 1993. pp. 92-101 (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP).

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title = "High performance fortran without templates: An alternative model for distribution and alignment",

abstract = "Language extensions of Fortran are being developed which permit the user to map data structures to the individual processors of distributed memory machines. These languages allow a programming style in which global data references are used. Current efforts are fo-cussed on designing a common basis for such languages, the result of which is known as High Performance For-tran (HPF). One of the central debates in the HPF effort revolves around the concept of templates, introduced as an abstract index space to which data could be aligned. In this paper, we present a model for the mapping of data which provides the functionality of High Performance Fortran distributions without the use of templates.",

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Chapman, BM, Mehrotra, P & Zima, HP 1993, High performance fortran without templates: An alternative model for distribution and alignment. in Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, vol. Part F129677, Association for Computing Machinery, pp. 92-101, 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993, San Diego, United States, 05/19/93. https://doi.org/10.1145/155332.155342

High performance fortran without templates: An alternative model for distribution and alignment. / Chapman, Barbara M.; Mehrotra, Piyush; Zima, Hans P.
Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993. Association for Computing Machinery, 1993. p. 92-101 (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP; Vol. Part F129677).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 1993/8/1

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AB - Language extensions of Fortran are being developed which permit the user to map data structures to the individual processors of distributed memory machines. These languages allow a programming style in which global data references are used. Current efforts are fo-cussed on designing a common basis for such languages, the result of which is known as High Performance For-tran (HPF). One of the central debates in the HPF effort revolves around the concept of templates, introduced as an abstract index space to which data could be aligned. In this paper, we present a model for the mapping of data which provides the functionality of High Performance Fortran distributions without the use of templates.

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Chapman BM, Mehrotra P, Zima HP. High performance fortran without templates: An alternative model for distribution and alignment. In Proceedings of the 4th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 1993. Association for Computing Machinery. 1993. p. 92-101. (Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP). doi: 10.1145/155332.155342

High performance fortran without templates: An alternative model for distribution and alignment

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