NDLI: High performance Fortran compilation techniques for parallelizing scientific codes

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High performance Fortran compilation techniques for parallelizing scientific codes

Content Provider	ACM Digital Library
Author	Adve, Vikram Mellor-Crummey, John Jin, Guohua Yi, Qing
Abstract	With current compilers for High Performance Fortran (HPF), substantial restructuring and hand-optimization may be required to obtain acceptable performance from an HPF port of an existing Fortran application. A key goal of the Rice dHPF compiler project is to develop optimization techniques that can provide consistently high performance for a broad spectrum of scientific applications with minimal restructuring of existing Fortran 77 or Fortran 90 applications. This paper presents four new optimization techniques we developed to support efficient parallelization of codes with minimal restructuring. These optimizations include computation partition selection for loop nests that use privatizable arrays, along with partial replication of boundary computations to reduce communication overhead; communication-sensitive loop distribution to eliminate inner-loop communications; interprocedural selection of computation partitions; and data availability analysis to eliminate redundant communications. We studied the effectiveness of the dHPF compiler, which incorporates these optimizations, in parallelizing serial versions of the NAS SP and BT application benchmarks. We present experimental results comparing the performance of hand-written MPI code for the benchmarks against code generated from HPF using the dHPF compiler and the Portland Group's pghpf compiler. Using the compilation techniques described in this paper we achieve performance within 15% of hand-written MPI code on 25 processors for BT and within 33% for SP. Furthermore, these results are obtained with HPF versions of the benchmarks that were created with minimal restructuring of the serial code (modifying only approximately 5% of the code).
Starting Page	1
Ending Page	23
Page Count	23
File Format	PDF
ISBN	089791984X
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1998-11-07
Access Restriction	Subscribed
Subject Keyword	Parallelizing compiler Hpf Nas benchmarks
Content Type	Text
Resource Type	Article

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