A new model for integrated nested task and data parallel programming
PPOPP '97 Proceedings of the sixth ACM SIGPLAN symposium on Principles and practice of parallel programming
Models and languages for parallel computation
ACM Computing Surveys (CSUR)
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Proceedings of the 1999 ACM symposium on Applied computing
Double standards: bringing task parallelism to HPF via the message passing interface
Supercomputing '96 Proceedings of the 1996 ACM/IEEE conference on Supercomputing
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We have recently introduced a new language, called Opus , which provides a set of Fortran language extensions that allow for integrated support of task and data parallelism. It also provides shared data abstractions (SDAs) as a method for communication and synchronization among these tasks. In this paper, we first provide a brief description of the language features and then focus on both the language-dependent and language-independent parts of the runtime system that support the language. The language-independent portion of the runtime system supports lightweight threads across multiple address spaces, and is built upon existing lightweight thread and communication systems. The language-dependent portion of the runtime system supports conditional invocation of SDA methods and distributed SDA argument handling.