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Synthesizing Nested Loop Algorithms Using Nonlinear Transformation Method
Journal article   Peer reviewed

Synthesizing Nested Loop Algorithms Using Nonlinear Transformation Method

Jang-Ping Sheu and Chih-Yung Chang
IEEE Transactions on Parallel and Distributed Systems, Vol.2(3), pp.304-317
1991

Abstract

Data dependence;For-Ioops;hyperplane method;nested;parallel processing;Systolic arrays

In this paper, we synthesize nested For-loops with partitions on the innermost loop. First, we present a nonlinear transformation algorithm to exploit the parallelism of the For-loops. By the mapping of nonlinear transformation, iterations of For-loops can be executed in a parallel form. The proposed algorithm is useful in exploiting the parallelism of For-loops with one or more partitions on the innermost loop. Then, we also design algorithms to partition and map the nested For-loops onto the fixed size systolic arrays. Based on the time and space mapping schemes, all the iterations of For-loops can be correctly executed on the array processors in a parallel form. © 1991 IEEE

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