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Self-Adjusting Mapping: A Heuristic Mapping Algorithm for Mapping Parallel Programs onto Transputer Networks

Authors: Shen, Hong


The problem of mapping parallel programs onto multiprocessor system is a fundmental problem of great significance in parallel processing, but it is NP-hard in general. In this paper we propose a fast heuristic algorithm to solve this problem on transputer networks. Our mapping algorithm consists of three modules: grouping, placement and routing, where grouping groups processes in the program into tasks which can be placed onto processors in the transputer network in a way of one-to-one, placement places the grouped tasks onto the processors and routing produces physical communication paths for logical communication requirements. The three modules work co-operatively in a way of progressive self-adjusting, and finally produce a satisfactory solution for the mapping problem.


OUG-11: Developing Transputer Applications, J. Wexler, 1989, pp 89 - 98 published by IOS Press, Amsterdam

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