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<p><it>Abstract</it>—A methodology for partitioning and mapping of arbitrary uniform recurrence equations (UREs) expressed as computation graphs onto a given regular array is proposed. Deriving and based on a set of canonical dependencies together with two models of space projection, we give a general method of parallelization. The method has significant advantages in mapping an arbitrary computation graph onto a given processor array while preserving high efficiency in both communication and computation.</p>
Algorithm transformation, automatic compilation, given-shape and fixed-mesh partitioning, uniform recurrence equation.

G. M. Megson and X. Chen, "A General Methodology of Partitioning and Mapping for Given Regular Arrays," in IEEE Transactions on Parallel & Distributed Systems, vol. 6, no. , pp. 1100-1107, 1995.
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