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US 12,314,843 B2Granted
Neural network operation method and apparatus with mapping orders
AssigneesSamsung Electronics Co., Ltd., Unist (Ulsan National Institute of Science and Technology)
InventorsSehwan Lee, Jongeun Lee, Jooyeon Choi
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Abstract
A neural network operation apparatus includes an input register to store an input feature map, a processing element array including a processing element to perform an operation based on the input feature map and a weight matrix, and a controller to map a portion of the input feature map and a portion of the weight matrix, both on which the operation is to be performed, to the processing element.
Claims18
A neural network operation apparatus, comprising:
- an input register configured to store an input feature map;
- a processing element array comprising a processing element configured to perform an operation based on the input feature map and a weight matrix;
- and
- a controller configured to map a portion of the input feature map and a portion of the weight matrix, both on which the operation is to be performed, to the processing element,
- wherein a size of the processing element array is determined based on a height of an output feature map, a width of the output feature map, and a size of the weight matrix.
2 more elements
A neural network operation method, comprising:
- storing an input feature map;
- mapping a portion of the input feature map and a portion of a weight matrix to a processing element performing an operation based on the input feature map and the weight matrix;
- and
- performing the operation based on the mapped portion of the input feature map and the mapped portion of the weight matrix,
- wherein the processing element is included in a processing element array, and
- a size of the processing element array is determined based on a height of an output feature map, a width of the output feature map, and a size of the weight matrix.
3 more elements
Dependencies are inferred from the claim text.