NEURAL NETWORK ACCELERATOR AND OPERATING METHOD THEREOF

    公开(公告)号:US20200242456A1

    公开(公告)日:2020-07-30

    申请号:US16751503

    申请日:2020-01-24

    Abstract: A neural network accelerator includes an operator that calculates a first operation result based on a first tiled input feature map and first tiled filter data, a quantizer that generates a quantization result by quantizing the first operation result based on a second bit width extended compared with a first bit width of the first tiled input feature map, a compressor that generates a partial sum by compressing the quantization result, and a decompressor that generates a second operation result by decompressing the partial sum, the operator calculates a third operation result based on a second tiled input feature map, second tiled filter data, and the second operation result, and an output feature map is generated based on the third operation result.

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