Neural network accelerator and operating method thereof
AssigneeSamsung Electronics Co., Ltd.
InventorsSeokhyeong Kang, Yesung Kang, Sunghoon Kim, Yoonho Park
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AssigneeSamsung Electronics Co., Ltd.
InventorsSeokhyeong Kang, Yesung Kang, Sunghoon Kim, Yoonho Park
Estimating the term…
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.
A neural network accelerator comprising:
An operation method of a neural network accelerator which operates based on channel loop tiling, the method comprising:
Dependencies are inferred from the claim text.