DMCA
COMPILING HPF FOR DISTRIBUTED MEMORY MIMD COMPUTERS (2005)
BibTeX
@MISC{Haupt05compilinghpf,
author = {Tomasz Haupt and Sanjay Ranka and et al.},
title = { COMPILING HPF FOR DISTRIBUTED MEMORY MIMD COMPUTERS},
year = {2005}
}
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Abstract
This paper describes the design of a High Performance Fortran (HPF/Fortran 90D) compiler, a source-to-source translator for distributed memory systems. HPF is a data parallel language with compiler directives to enable users to specify data alignment and distributions. A systematic methodology to process distribution directives of HPF is presented. Furthermore, techniques for data and computation partitioning, communication detection and generation, and the run-time support for the compiler are discussed. Finally, initial performance results for the compiler are presented which show that the code produced by the compiler is portable, yet efficient. We believe that the methodology to process data distribution, computation partitioning, communication system design and the overall compiler design can be used by the other HPF compiler implementors.
Keyphrases
computation partitioning hpf compiler implementors hpf fortran compiler directive initial performance result high performance fortran distributed memory system systematic methodology communication system design distribution directive data alignment communication detection source-to-source translator data parallel language run-time support overall compiler design data distribution
