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A design methodology for data-parallel applications

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4 Author(s)
Nyland, L.S. ; Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC, USA ; Prins, J.F. ; Goldberg, A. ; Mills, P.H.

A methodology for the design and development of data-parallel applications and components is presented. Data-parallelism is a well understood form of parallel computation, yet developing simple applications can involve substantial efforts to express the problem in low level notations. We describe a process of software development for data-parallel applications starting from high level specifications, generating repeated refinements of designs to match different architectural models and performance constraints, enabling a development activity with cost benefit analysis. Primary issues are algorithm choice, correctness, and efficiency, followed by data decomposition, load balancing, and message passing coordination. Development of a data-parallel multitarget tracking application is used as a case study, showing the progression from high to low level refinements. We conclude by describing tool support for the process

Published in:

Software Engineering, IEEE Transactions on  (Volume:26 ,  Issue: 4 )

Date of Publication:

Apr 2000

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