Integrated Support for Task and Data Parallelism-Reference-Cited by-同舟云学术

Integrated Support for Task and Data Parallelism

Published:1994-06 Issue:2 Volume:8 Page:80-98
ISSN:1078-3482
Container-title:The International Journal of Supercomputer Applications and High Performance Computing
language:en
Short-container-title:The International Journal of Supercomputer Applications and High Performance Computing

Author:

Chandy Mani¹,Foster lan²,Kennedy Ken³,Koelbel Charles³,Tseng Chau-Wen³

Affiliation:

1. CENTER FOR RESEARCH ON PARALLEL COMPUTATION CALIFORNIA INSTITUTE OF TECHNOLOGY PASADENA, CALIFORNIA

2. ARGONNE NATIONAL LABORATORY ARGONNE, ILLINOIS

3. CENTER FOR RESEARCH ON PARALLEL COMPUTATION RICE UNIVERSITY HOUSTON, TEXAS

Abstract

We present an overview of research at the Center for Research on Parallel Computation designed to provide an efficient, portable programming model for scientific applications possessing both task and data parallelism. Fortran M programs exploit task parallelism by provid ing language extensions for user-defined process man agement and typed communication channels. A com bination of compiler and run-time system support en sures modularity, safety, portability, and efficiency. Fortran D and High Performance Fortran programs ex ploit data parallelism by providing language exten sions for user-defined data decomposition specifica tions, parallel loops, and parallel-array operations.

Publisher

SAGE Publications

Subject

General Engineering,General Computer Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/109434209400800202

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