Abstract

Digital partitioning and error-correcting codes provide a technique for achieving high-accuracy computations with analog optical matrix–vector processors. We present the results of a detailed throughput analysis of this technique. The results indicate that using one processor per submatrix provides the best compromise between system throughput and hardware requirements over a range of matrix sizes. Error-correcting codes are shown to not significantly degrade system throughput for large matrix sizes. Finally, a comparison to digital electronic computers is made.

© 1995 Optical Society of America

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