Abstract: A neural processor and a method for fetching instructions thereof are provided. The neural processor includes a local memory in which weights, input activations, and partial sums are stored, a processing unit configured to compute the weights, the input activations, and the partial sums, and a local memory load unit configured to load the weights, the input activations, and the partial sums from the local memory into the processing unit, wherein the local memory load unit includes an instruction fetch unit configured to fetch instructions included in a program of the local memory load unit for loading any one of the weights, the input activations, or the partial sums from the local memory, and an instruction execution unit configured to generate control signals for executing instructions fetched by the instruction fetch unit.

Abstract: A neural processing device is provided. The neural processing device comprises: an activation buffer in which first and second input activations are stored, an activation compressor configured to generate a first compressed input activation by using the first and second input activations, and a tensor unit configured to perform two-dimensional calculations using the first compressed input activation, wherein the first compressed input activation comprises first input row data comprising at least a portion of the first input activation and at least a portion of the second input activation, and first metadata corresponding to the first input row data.

Abstract: A neural processing device is provided. The neural processing device comprises: an activation buffer in which first and second input activations are stored, an activation compressor configured to generate a first compressed input activation by using the first and second input activations, and a tensor unit configured to perform two-dimensional calculations using the first compressed input activation, wherein the first compressed input activation comprises first input row data comprising at least a portion of the first input activation and at least a portion of the second input activation, and first metadata corresponding to the first input row data.

Abstract: A neural processing device is provided. The neural processing device comprises: an activation buffer in which first and second input activations are stored, an activation compressor configured to generate a first compressed input activation by using the first and second input activations, and a tensor unit configured to perform two-dimensional calculations using the first compressed input activation, wherein the first compressed input activation comprises first input row data comprising at least a portion of the first input activation and at least a portion of the second input activation, and first metadata corresponding to the first input row data.