A Framework for an Automatic Hybrid MPI plus OpenlVIP code generation

Clusters of symmetric multiprocessors (SMPs) are the most currently used architecture for large scale applications and combining MPI and OpenMP models is regarded as a suitable programming model for such architectures. But writing efficient MPI+OpenMP programs requires expertise and performance analysis to determine the best number of processes and threads for the optimal execution for a given application on a given platform. To solve these problems, we propose a framework for the development of hybrid MPI+OpenMP programs. This paper provides the following contributions: (i) A compiler analyser that estimates the computing time of a sequential function. (ii) A code generator tool for generating hybrid code based on the compiler analyser and a simple analytical parallel performance prediction model to estimate the execution time of an hybrid program. (iii) An evaluation of the accuracy of the framework and its usability on several benchmarks.