Parameter Matching Hotspot Detection in Circuit Design
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Solution Overview
Problem
Conventional methods for detecting hotspots in complex electronic circuit designs are inefficient, particularly at the 65 nm scale and below, where parametric failures dominate yield-limiting mechanisms, requiring fast and sophisticated techniques to identify manufacturing variations affecting power, timing, or other performance specifications.
Innovation Solution
Devices in an electronic circuit design are classified into groups based on selected device parameters, with a reference device representing each group for electrical information determination, allowing for rapid hotspot detection and correction through physical verification rules and schematic design recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional full chip electrical simulations are used for hotspot detection, then detection accuracy is improved, but processing time increases significantly
Solution Approach 1:
The patent segments the circuit design into multiple device groups based on layout characteristics and device parameters. Instead of simulating the entire chip, only representative devices from each group are simulated, dramatically reducing processing time while maintaining detection accuracy through group-based analysis
Solution Approach 2:
The patent creates representative device models that copy the essential electrical characteristics of entire device groups. These representative devices serve as proxies for full chip simulation, enabling fast hotspot detection without sacrificing accuracy for the represented group
2Reliability
If device grouping based on multiple parameters is implemented, then hotspot detection comprehensiveness is improved, but classification complexity increases
Solution Approach 1:
The patent uses changes in device parameters (channel width, channel length, SA, SB) as the basis for grouping devices. By monitoring how these parameters change and group devices with similar parameter values, the system achieves comprehensive hotspot detection while keeping classification manageable through parameter-based organization
Data Source
AI summary
Disclosed are techniques for detecting hotspots using parameter matching. According to various implementations of the invention, devices in an electronic circuit design are classified into device groups based on their values for one or more device parameters, which can be derived from layout data describing the devices. Representative electrical information for each of the device groups is determined and used as a basis for hotspot detection.