This paper presents , a framework for programming and executing task-based parallel applications on clusters of multiprocessors and multi-cores, while providing interoperability with existing programming systems such as and OpenMP. facilitates expressing irregular and adaptive master-worker and divide-and-conquer applications avoiding explicit calls. It also allows hybrid shared-memory / message-passing programming, exploiting fully the availability of multiprocessor and multi-core nodes, as it integrates by design with OpenMP; the runtime infrastructure presents a unified substrate that handles local threads and remote tasks seamlessly, allowing both programming flexibility and increased performance opportunities. © 2011 Springer-Verlag.
CITATION STYLE
Dimakopoulos, V. V., & Hadjidoukas, P. E. (2011). HOMPI: A hybrid programming framework for expressing and deploying task-based parallelism. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6853 LNCS, pp. 14–26). https://doi.org/10.1007/978-3-642-23397-5_3
Mendeley helps you to discover research relevant for your work.