高性能Fortran和可能的扩展，以支持共轭梯度算法

Proceedings of 5th IEEE International Symposium on High Performance Distributed Computing Pub Date : 1996-08-06 DOI:10.1109/HPDC.1996.546175

K. Dinçer, G. Fox, K. Hawick

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引用次数: 10

摘要

评估高性能Fortran (HPF)语言在高性能计算和通信(HPCC)平台上共轭梯度迭代矩阵求解器的紧凑表达和高效实现。我们讨论了内部函数、数据分布指令和显式并行结构的使用，通过以可移植的方式最小化通信需求来优化性能。我们关注使用现有HPF定义的实现，但也讨论可能影响HPF-2修订定义的问题。所讨论的一些代码可以在www上获得，网址是http://www.npac.syr.edu/hpfa/，以及其他与HPF应用相关的教育和讨论材料。

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

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 http://www.npac.syr.edu/hpfa/, along with other educational and discussion material related to applications in HPF.

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

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