Invention Grant
- Patent Title: Inference focus for offline training of SRAM inference engine in binary neural network
-
Application No.: US18068637Application Date: 2022-12-20
-
Publication No.: US11797851B2Publication Date: 2023-10-24
- Inventor: Chia-Yu Chen , Jui-Hsin Lai , Ko-Tao Lee , Li-Wen Hung
- 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: Tutunjian & Bitetto, P.C.
- Agent Robert Richard Aragona
- Main IPC: G11C16/04
- IPC: G11C16/04 ; G06N3/08 ; G06N5/04 ; G11C11/419 ; G11C11/412

Abstract:
A Static Random Access Memory (SRAM) device in a binary neural network is provided. The SRAM device includes an SRAM inference engine having an SRAM computation architecture with a forward path that include multiple SRAM cells forming a chain of SRAM cells such that an output of a given one of the multiple SRAM cells is an input to a following one of the multiple SRAM cells. The SRAM computation architecture is configured to compute a prediction from an input. The SRAM computation architecture is configured to store ternary data and perform local computations on the ternary data.
Public/Granted literature
- US20230121677A1 INFERENCE FOCUS FOR OFFLINE TRAINING OF SRAM INFERENCE ENGINE IN BINARY NEURAL NETWORK Public/Granted day:2023-04-20
Information query