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Compile-time techniques for data distribution in distributed memory machines

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2 Author(s)
Ramanujam, J. ; Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA ; Sadayappan, P.

A solution to the problem of partitioning data for distributed memory machines is discussed. The solution uses a matrix notation to describe array accesses in fully parallel loops, which allows the derivation of sufficient conditions for communication-free partitioning (decomposition) of arrays. A series of examples that illustrate the effectiveness of the technique for linear references, the use of loop transformations in deriving the necessary data decompositions, and a formulation that aids in deriving heuristics for minimizing a communication when communication-free partitions are not feasible are presented

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Parallel and Distributed Systems, IEEE Transactions on  (Volume:2 ,  Issue: 4 )