Nested FOR loop algorithms are the most common applications ofsystolic arrays. All the techniques for mapping nested FOR loops ontosystolic arrays have the `curse of dimensionality'. The authors proposethe approach of first finding coarse-grained mappings that are easier todetermine and then refining these mappings through some simpletransformations, to obtain efficient fine-grained mappings. The authorspropose three transformation techniques that can derive efficientfine-grained mappings for linear systolic arrays. These techniques canbe used to derive easily efficient mappings for some commonly knownalgorithms
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