Invention Grant
- Patent Title: Machine-learning based scan design enablement platform
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Application No.: US16173448Application Date: 2018-10-29
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Publication No.: US11113444B2Publication Date: 2021-09-07
- Inventor: Sandeep Kumar Goel , Yun-Han Lee , Vinay Kotha , Ankita Patidar
- Applicant: Taiwan Semiconductor Manufacturing Co., Ltd.
- Applicant Address: TW Hsinchu
- Assignee: Taiwan Semiconductor Manufacturing Co., Ltd.
- Current Assignee: Taiwan Semiconductor Manufacturing Co., Ltd.
- Current Assignee Address: TW Hsinchu
- Agency: Sterne, Kessler, Goldstein & Fox P.L.L.C.
- Main IPC: G06F30/394
- IPC: G06F30/394 ; G06F17/18 ; G06N20/00 ; G06F30/398

Abstract:
Electronic design automation (EDA) of the present disclosure, in various embodiments, optimizes designing, simulating, analyzing, and verifying of electronic circuitry for an electronic device. The electronic device includes scan flip-flops to autonomously test the electronic circuitry for various manufacturing faults. The EDA of the present disclosure statistically groups the scan flip-flops into scan chains in such a manner such that scan flip-flops within each scan chain share similar characteristics, parameters, or attributes. Thereafter, the EDA of the present disclosure intelligently arranges ordering for the scan flip-flops within each of the scan chains to optimize power, performance, and/or area of the electronic circuitry.
Public/Granted literature
- US20200004913A1 MACHINE-LEARNING BASED SCAN DESIGN ENABLEMENT PLATFORM Public/Granted day:2020-01-02
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