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This paper presents hompi, 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 mpi and OpenMP. hompi facilitates expressing irregular and adaptive master-worker and divide-and-conquer applications avoiding explicit mpi calls. It also allows hybrid sharedmemory / 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.