Group Properties of Cellular Automata and VLSI Applications
IEEE Transactions on Computers
Optimal Graph Algorithms on a Fixed-Size Linear Array
IEEE Transactions on Computers
FRONTIERS '96 Proceedings of the 6th Symposium on the Frontiers of Massively Parallel Computation
Integration, the VLSI Journal
Neurocomputing
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This tutorial paper addresses some of the principles and provides examples of concurrent architectures and designs that have been inspired by VLSI technology. The circuit density offered by VLSI provides the means for implementing systems with very large numbers of computing elements, while its physical characteristics provide an incentive to organize systems so that the elements are relatively loosely coupled. One class of computer architectures that evolve from this reasoning include an interesting and varied class of concurrent machines that adhere to a structural model based on the repetition of regularly connected elements. The systems included under this structural model range from 1) systems that combine storage and logic at a fine grain size, and are typically aimed at computations with images or storage retrieval, to 2) systems that combine registers and arithmetic at a medium grain size to form computational or systolic arrays for signal processing and matrix computations, to 3) arrays of instruction interpreting computers that use teamwork to perform many of the same demanding computations for which we use high-performance single process computers today.