In recent years, many researchers had proposed a new class of computer architecture, called processor-in-memory (PIM), to reduce the performance gap between the CPU and memory. In order to exploit the benefits of PIM, we designed a parallelizing system ¡V SAGE (Statement Analysis Grouping Evaluation) in our previous research. In this paper, we design a program decomposition mechanism for SAGE system. The mechanism partitions the statements in a program into several parts according to control flow relation. Then it analyzes data dependence relation by using Polaris system, and generates weighted partition dependence graphs which are scheduled by task scheduling mechanisms of SAGE system.

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