HYBRID ANALOG-DIGITAL MATRIX PROCESSORS
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United States of America
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Mar 31, 2022
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Dec 8, 2021
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Dec 8, 2021
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Techniques for computing matrix operations for arbitrarily large matrices on a finite-sized hybrid analog-digital matrix processor are described. Techniques for gain adjustment in a finite-sized hybrid analog-digital matrix processor are described which enable the system to obtain higher energy efficiencies, greater physical density and improved numerical accuracy. In some embodiments, these techniques enable maximization of the predictive accuracy of a GEMM-based convolutional neural network using low-precision data representations.
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