Invention Grant
- Patent Title: Exploiting input data sparsity in neural network compute units
-
Application No.: US15336066Application Date: 2016-10-27
-
Publication No.: US10360163B2Publication Date: 2019-07-23
- Inventor: Dong Hyuk Woo , Ravi Narayanaswami
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F13/16
- IPC: G06F13/16 ; G06F17/16 ; G06N99/00 ; G06N5/04 ; G06N20/00 ; G06N3/063 ; G06N3/08 ; G06N3/10 ; G06F15/76

Abstract:
A computer-implemented method includes receiving, by a computing device, input activations and determining, by a controller of the computing device, whether each of the input activations has either a zero value or a non-zero value. The method further includes storing, in a memory bank of the computing device, at least one of the input activations. Storing the at least one input activation includes generating an index comprising one or more memory address locations that have input activation values that are non-zero values. The method still further includes providing, by the controller and from the memory bank, at least one input activation onto a data bus that is accessible by one or more units of a computational array. The activations are provided, at least in part, from a memory address location associated with the index.
Public/Granted literature
- US20180121377A1 EXPLOITING INPUT DATA SPARSITY IN NEURAL NETWORK COMPUTE UNITS Public/Granted day:2018-05-03
Information query