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oaioai:surface.syr.edu:npac-1039

High Performance Fortran and Possible Extensions to support Conjugate Gradient Algorithms

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Publication date
1 January 1995
Publisher
SURFACE at Syracuse University

Abstract

We evaluate the High-Performance Fortran (HPF) language for the compact expression and efficient implementation of conjugate gradient iterative matrix-solvers on High Performance Computing and Communications(HPCC) platforms. We discuss the use of intrinsic functions, data distribution directives and explicitly parallel constructs to optimize performance by minimizing communications requirements in a portable manner. We focus on implementations using the existing HPF definitions but also discuss issues arising that may influence a revised definition for HPF-2. Some of the codes discussed are available on the World Wide Web at http://www.npac.syr.edu/hpfa/ alongwith other educational and discussion material related to applications in HPF

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Syracuse University Research Facility and Collaborative Environment

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Last time updated on 09/07/2019

This paper was published in Syracuse University Research Facility and Collaborative Environment.

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