Invention Grant
- Patent Title: Method for efficient localized self-heating analysis using location based deltat analysis
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Application No.: US15410929Application Date: 2017-01-20
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Publication No.: US10204198B2Publication Date: 2019-02-12
- Inventor: Nagashyamala R. Dhanwada , Arun Joseph , Arya Madhusoodanan , Spandana V. Rachamalla
- 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 Steven Meyers
- Main IPC: G06F17/50
- IPC: G06F17/50

Abstract:
Aspects of the present invention include a method, system and computer program product that provides for improved localized self-heating analysis during IC design. The method includes a processor for modeling a power characteristic and a thermal resistance characteristic for each one of a plurality of locations within a cell that is being designed into an integrated circuit; for performing a self-heating analysis to determine an amount of heat at each one of the plurality of locations within the cell; and for creating a thermal profile for the cell, wherein the thermal profile includes a maximum self-heating value for each of the plurality of locations within the cell and includes an average self-heating value for the cell, and wherein the maximum self-heating value and the average self-heating value are derived from the determined amount of heat at each one of the plurality of locations within the cell.
Public/Granted literature
- US20180210989A1 METHOD FOR EFFICIENT LOCALIZED SELF-HEATING ANALYSIS USING LOCATION BASED DELTAT ANALYSIS Public/Granted day:2018-07-26
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