Multiprocessors for evaluating compound arithmetic functions

A dynamic network approach is proposed for designing multifunctional arithmetic processors to support complex, interval, vector, matrix, polynomial, and other compound arithmetic operations. This arithmetic-network approach is extended from the multipipleline chaining concept implemented in Cray Research supercomputers. The proposed design methodology offers a viable way of developing very powerful and flexible arithmetic multiprocessors for scientific supercomputing.