IN-MEMORY COMPUTING FOR APPROXIMATING KERNEL FUNCTIONS
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United States of America Patent
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Issued Date -
Apr 18, 2024
app pub date -
Sep 30, 2022
filing date -
Sep 30, 2022
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Abstract
A probability distribution corresponding to the kernel function is determined and weights are sampled from the determined probability distribution corresponding to the given kernel function. Memristive devices of an analog crossbar are programmed based on the sampled weights, where each memristive device of the analog crossbar is configured to represent a corresponding weight. Two matrix-vector multiplication operations are performed on an analog input x and an analog input y using the programmed crossbar and a dot product is computed on results of the matrix-vector multiplication operations.
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