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Runtime support for data parallel tasks

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5 Author(s)
Haines, M. ; Inst. for Comput. Applications in Sci. & Eng., NASA Langley Res. Center, Hampton, VA, USA ; Hess, B. ; Mehrotra, P. ; van Rosendale, J.
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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