Partitioning and Mapping Algorithms into Fixed Size Systolic Arrays
IEEE Transactions on Computers
Regular interactive algorithms and their implementations on processor arrays
Regular interactive algorithms and their implementations on processor arrays
VLSI array processors
A comparative study of two systematic design methodologies for systolic arrays
Proceedings of the international workshop on Parallel algorithms & architectures
Data broadcasting in linearly scheduled array processors
ISCA '84 Proceedings of the 11th annual international symposium on Computer architecture
Optimal Synthesis of Algorithm-Specific Lower-Dimensional Processor Arrays
IEEE Transactions on Parallel and Distributed Systems
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The parameter method and data dependency method have been proposed as systematic design methodologies for systolic arrays. The authors describe the relationship between the two methodologies and show that the parameter method applies to a subclass of the algorithms that can be processed by the dependency method. The optimization procedure of the parameter method can be applied, in a restricted sense, within the framework of the dependency method. This procedure is used to derive an optimal array for the deconvolution algorithm.