Runtime support for data parallel tasks
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We have recently introduced Opus, a set of Fortran language extensions that provide shared data abstractions (SDAs) as a mechanism for communication and synchronization among coarse-grain data parallel tasks. In this paper, we discuss the design and implementation issues of the runtime system necessary to support SDAs, and outline the underlying requirements for such a runtime system. We explore the feasibility of this approach by implementing a prototype of the runtime system. We give preliminary results of the prototype on the Intel Paragon, outline the current status of the project, and discuss future plans
Published in:
Frontiers of Massively Parallel Computation, 1995. Proceedings. Frontiers '95., Fifth Symposium on the
Date of Conference: 6-9 Feb 1995