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High-Performance Fortran and possible extensions to support conjugate gradient algorithms

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3 Author(s)
K. Dincer ; Sch. of Comput. & Inf. Sci., Syracuse Univ., NY, USA ; G. C. Fox ; K. Hawick

Evaluates 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, along with other educational and discussion material related to applications in HPF.

Published in:

High Performance Distributed Computing, 1996., Proceedings of 5th IEEE International Symposium on

Date of Conference:

6-9 Aug. 1996