Program Development Tools for Clusters of Shared Memory Multiprocessors

Abstract. Applications are increasingly being executed on computational systems that have hierarchical parallelism. There are several programming paradigms which may be used to adapt a program for execution in such an environment. In this paper, we outline some of the challenges in porting codes to such systems, and describe a programming environment that we are creating to support the migration of sequential and MPI code to a cluster of shared memory parallel systems, where the target program may include MPI, OpenMP or both. As part of this effort, we are evaluating several experimental approaches to aiding in this complex application development task