US 12,333,415 B2
Neural network accelerators
Vaithyalingam Nagendran, Karnataka (IN); Jitendra Onkar Kolhe, Karnataka (IN); Soumitra Chatterjee, Karnataka (IN); and Shounak Bandopadhyay, Karnataka (IN)
Assigned to Hewlett Packard Enterprise Development LP, Spring, TX (US)
Filed by Hewlett Packard Enterprise Development LP, Houston, TX (US)
Filed on Apr. 8, 2021, as Appl. No. 17/225,580.
Claims priority of application No. 202041029463 (IN), filed on Jul. 10, 2020.
Prior Publication US 2022/0012573 A1, Jan. 13, 2022
Int. Cl. G06F 15/80 (2006.01); G06F 9/50 (2006.01); G06N 3/063 (2023.01)
CPC G06N 3/063 (2013.01) [G06F 9/5027 (2013.01); G06F 9/5061 (2013.01); G06F 15/80 (2013.01)] 20 Claims
OG exemplary drawing
 
10. A method for processing a tensor by a neural network accelerator, the method comprising:
obtaining a first output working set generated by a first operation, wherein the first output working set is a set of processed partitioned tensors;
copying the first output working set to a second input working space, wherein the second input working space is a memory portion of the neural network accelerator, corresponding to a second operation;
executing the second operation on the first output working set stored in the second input working space to generate a second output working set; and
copying the second output working set to a second output working space for retrieving by a subsequent operation.