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Communication cost estimation and global data partitioning for distributed memory machines

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2 Author(s)
S. R. Prakash ; Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India ; Y. N. Srikant

Estimating communication cost involved in executing a program on distributed memory machines is important for evaluating the overheads due to repartitioning. The authors present a scheme which will work with reasonable efficiency for arrays with at most 3 dimensions. The hyperplane partitioning technique given by Prakash and Srikant (1997) is extended to complete programs by estimating the communication cost by the scheme presented in the work

Published in:

High-Performance Computing, 1997. Proceedings. Fourth International Conference on

Date of Conference:

18-21 Dec 1997