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公开(公告)号:US11175844B1
公开(公告)日:2021-11-16
申请号:US15929618
申请日:2020-05-13
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ashish Ranjan , Arvind Kumar , Carl Radens
Abstract: In a deep neural network (DNN), weights are defined that represent a strength of connections between different neurons of the DNN and activations are defined that represent an output produced by a neuron after passing through an activation function of receiving an input and producing an output based on some threshold value. The weight traffic associated with a hybrid memory therefore is distinguished from the activation traffic to the hybrid memory, and one or more data structures may be dynamically allocated in the hybrid memory according to the weights and activations of the one or more data structures in the DNN. The hybrid memory includes at least a first memory and a second memory that differ according to write endurance attributes.