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Automatic localization for distributed-memory multiprocessors using a shared-memory compilation framework

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2 Author(s)
Sarkar, V. ; IBM Santa Teresa Lab., San Jose, CA, USA ; Vazquez, L.A.

We outline an approach for compiling for distributed-memory multiprocessors that is inherited from compiler technologies for shared-memory multiprocessors. We believe that this approach to compiling for distributed-memory machines as promising because it is a logical extension of the shared-memory parallel programming model, a model that is easier for programmers to work with, and that has been studied in great detail as a target for parallelizing and optimizing compilers. In particular, the paper focuses on the localization step, and presents optimal localization algorithms for a single global DOALL, and for special-case structures of multiple global DOALLs.<>

Published in:

System Sciences, 1994. Proceedings of the Twenty-Seventh Hawaii International Conference on  (Volume:2 )

Date of Conference:

4-7 Jan. 1994