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Abstract: In this paper, we describe our experience with using an abstract integer-set framework to develop the Rice dHPF compiler, a compiler for High Performance Fortran. We present simple, yet general formulations of the major computation partitioning and communication analysis tasks as well as a number of important optimizations in terms of abstract operations on sets of integer tuples. This approach has made it possible to implement a comprehensive collection of advanced optimizations in dHPF, and... (Update)
Context of citations to this paper: More
.... HPF programs to MPI for message passing systems using aggressive techniques for computation partitioning and communication optimization [1, 6]. This implementation was recently used in a joint project with the parallel simulation group at UCLA to improve the scalability of...
.... the impact of these optimizations, we have combined the MPISim parallel simulator [6, 26, 27, 28] with the dHPF compiler infrastructure [2] into a program simulation framework that incorporates the new techniques described above. The MPI Sim simulator simulates unmodified MPI...
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BibTeX entry: (Update)
V. Adve and J. Mellor-Crummey, Using Integer Sets for Data-Parallel Program Analysis and Optimization. In Proceedings of the SIGPLAN'98 Conference on Programming Language Design and Implementation (June 1998). http://citeseer.ist.psu.edu/adve98using.html More
@inproceedings{ adve98using,
author = "Vikram S. Adve and John M. Mellor-Crummey",
title = "Using Integer Sets for Data-Parallel Program Analysis and Optimization",
booktitle = "{SIGPLAN} Conference on Programming Language Design and Implementation",
pages = "186-198",
year = "1998",
url = "citeseer.ist.psu.edu/adve98using.html" }
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8 Advanced code generation for High Performance Fortran - Adve, Mellor-Crummey
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