Abstract
Clusters of SMPs (symmetric multiprocessors) gain more and more importance in high performance computing and are often used with a hybrid programming model based on message passing and multithreading. For irregular application programs with dynamically changing computation and data access behavior a flexible programming model is needed to achieve load balance and efficiency. We have proposed task pool teams as a new hybrid concept to realize irregular algorithms on clusters of SMPs efficiently. Task pool teams offer implicit load balance on single cluster nodes together with multithreaded, MPI-based communication for the exchange of remote data. This paper introduces the programming model and library support with an easy to use application programmer interface for task pool teams.
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