Cilk: an efficient multithreaded runtime system
Journal of Parallel and Distributed Computing - Special issue on multithreading for multiprocessors
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation)
Intel threading building blocks
Intel threading building blocks
The Cilk++ concurrency platform
Proceedings of the 46th Annual Design Automation Conference
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Task parallelism deals with the extraction of the potential parallelism of irregular structures, which vary according to the input data, through a definition of abstract tasks and their dependencies. Shared-memory APIs, such as OpenMP and TBB, support this model and ensure performance thanks to an efficient scheduling of tasks. In this work, we provide arguments favoring the support of task parallelism in MPI. We explain how native MPI can be used to define tasks, their dependencies, and their runtime scheduling. We also discuss performance issues. Our preliminary experiments show that it is possible to implement efficient task-parallel MPI programs and to increase the range of applications covered by the MPI standard.