SPERT-II: A Vector Microprocessor System and Its Application to Large Problems in Backpropagation Training,
CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE
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We report on our development of a high-performance system for neural network and other signal processing applications. We have designed and implemented a vector microprocessor and packaged it as an attached processor for a conventional workstation. We present performance comparisons with workstations on neural network backpropagation training. The SPERT-II system demonstrates roughly 15 times the performance of a mid-range workstation and five times the performance of a high-end workstation with extensive hand-optimization of both workstation versions.
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