A parallel programming tool for single program multiple data model on distributed memory multiprocessors

Abstract

The authors propose a parallel programming tool, PPT, to aid programmers in finding the best program partitioning and scheduling and to automatically generate the parallel code for the single program multiple data (SPMD) model on a distributed memory multiprocessor. In a distributed memory multiprocessor, the program partitioning and scheduling play an important role in the performance of a parallel program. The goal of PPT is to aid programmers in designing a parallel program that can be run on a distributed memory multiprocessor efficiently with balanced load and low communication cost. PPT has six components: a program partitioning and directed acyclic graph (DAG) generator, a DAG analyzer, a scheduler, a communication analyzer, a code generator, and a performance evaluator. Each of these components is described. >