Invention Grant
- Patent Title: Resistive processing units and neural network training methods
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Application No.: US15196346Application Date: 2016-06-29
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Publication No.: US10664745B2Publication Date: 2020-05-26
- Inventor: Tayfun Gokmen , Michael P. Perrone , Yurii A. Vlasov
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Vazken Alexanian
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06N3/04 ; G06N3/08

Abstract:
An array of resistive processing units (RPUs) comprises a plurality of rows of RPUs and a plurality of columns of RPUs wherein each RPU comprises an AND gate configured to perform an AND operation of a first stochastic bit stream received from a first stochastic translator translating a number encoded from a neuron in a row and a second stochastic bit stream received from a second stochastic translator translating a number encoded from a neuron in a column. A first storage is configured to store a weight value of the RPU, and a second storage is configured to store an amount of change to the weight value of the RPU. When the first stochastic bit stream and the second stochastic bit stream coincide, the amount of change to the weight value of the RPU is added to the weight value of the RPU.
Public/Granted literature
- US20180005110A1 RESISTIVE PROCESSING UNITS AND NEURAL NETWORK TRAINING METHODS Public/Granted day:2018-01-04
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