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On finding optimal clusterings of task graphs

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2 Author(s)
Lowe, W. ; Fakultat fur Inf., Karlsruhe Univ., Germany ; Zimmermann, W.

Currently, many parallel algorithms are defined for shared memory architectures. The preferred machine model is the PRAM, but this model does not take into account properties of existing architectures that have a distributed memory and an asynchronous execution model. A transformation of PRAM programs into distributed, asynchronous ones is known. In order to produce not only correct but also efficient code the tasks have to be clustered. We introduce a parallel algorithm producing an optimal clustering for coarse grained task graphs with respect to the execution time on an asynchronous distributed random access machine, the A-DRAM. This machine model assumes distributed memory, asynchronous execution of tasks, computation costs, and communication delay

Published in:

Parallel Algorithms/Architecture Synthesis, 1995. Proceedings., First Aizu International Symposium on

Date of Conference:

15-17 Mar 1995