Arm Limited

Tianmu Li

Ian Rudolf Bratt

Alexander Eugene Chalfin

Danny Loh

Lingchuan Meng

The present disclosure advantageously provides a system and a method for convolving data in a quantized convolutional neural network (CNN). The method includes selecting a set of complex interpolation points, generating a set of complex transform matrices based, at least in part, on the set of complex interpolation points, receiving an input volume from a preceding layer of the quantized CNN, performing a complex Winograd convolution on the input volume and at least one filter, using the set of complex transform matrices, to generate an output volume, and sending the output volume to a subsequent layer of the quantized CNN.

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Los Angeles, CA, United States of America

Tianmu Li