A data-driven architecture for distributed parallel processing

A single-chip data-driven microprocessor with special functions for distributed parallel processing is described. The implemented functions necessary for parallel processing are: relative addressing mode for program memory; efficient test and set operation of arbitrary data in data memory; transparent access of distributed shared memory; and dynamic load distribution among multiprocessors. With this microprocessor, practical parallel processing systems which exploit a wide area of scientific applications can be constructed.<
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