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On deciding granularity for optimal speedup for solving data parallel problems with clustered distributed computing

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3 Author(s)
Jung-Sing Jwo ; Dept. of Comput. & Inf. Sci., Tunghai Univ., Taichung, Taiwan ; Yu Chin Cheng ; Chin-Yun Hsieh

In this paper we show how to obtain optimal speedup in a master-slave model for solving data-parallel problems. Given the number of homogeneous workstations, their computation time for solving a basic sub-task of the problem, network transmission bandwidth and data volume per basic sub-task, the per-distribution number of basic sub-tasks sent to a slave for attaining the optimal speedup can be decided. The effectiveness of the proposed theory has been tested using a parallel computing experiment involving the Hough transformation

Published in:

Parallel Architectures, Algorithms, and Networks, 1997. (I-SPAN '97) Proceedings., Third International Symposium on

Date of Conference:

18-20 Dec 1997