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Hybrid parallel programming with the Message Passing Interface (MPI) for internode communication in conjunction with a shared-memory programming model to manage intranode parallelism has become a dominant approach to scalable parallel programming. While this model provides a great deal of flexibility and performance potential, it saddles programmers with the complexity of utilizing two parallel programming systems in the same application. We introduce an MPI-integrated shared-memory programmingdoi:10.1007/s00607-013-0324-2 fatcat:3anov6fhszavhczgohts33rabq