Partitioning And Mapping Nested Loops On Multicomputer
Author(s)
Tzung-Shi Chen & Jang-Ping Sheu
Abstract
Partitioning and mapping nested loops on
multicomputer
Tzung-Shi Chen* & Jang-Ping Sheu%
^Department of Information Management, Chang Jung University,
Taiwan
^Department of Computer Science and Information Engineering, National
Central University, Taiwan
Abstract
Minimizing interprocessor communication is the key to a parallelized pro-
gram running on multicomputers. This paper addresses a compilation tech-
nique to achieve the goal of generating an efficient parallelized code with
both reducing the incurred communication cost and preserving parallelism.
First, we transform a nested loop into a transformed structure with sup-
porting an evaluation function to evaluate these transformed structures to
obtain a certain parallelized code with less parallel executing time. Next,
a mapping strategy is proposed to map the transformed structure onto hy-
percubes to be executed in parallel in a way with workload balance and low
communication cost over processors.
1 Introduction
Keywords
Related Book
Other papers in this volume
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