Pop count-based deep learning neural network computation method, multiply accumulator and device
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United States of America
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Mar 25, 2025
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Oct 6, 2022
app pub date -
Nov 30, 2020
filing date -
Nov 30, 2020
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Abstract
The present invention relates to a pop count-based deep learning neural network computation method, a multiply accumulator, and a device thereof. The computation method according to an exemplary embodiment of the present invention is a computation method for a deep learning neural network, including a step of generating one-hot encoding codes according to the type of first multiplication result values for a multiplication (first multiplication) of weights (W) and input values (A); a step of performing a pop-count for each generated code; and a step of accumulating result values for a constant multiplication (second multiplication) between each type of the first multiplication result value and each count value of the pop-count which are different constant values.
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