Taiwan semiconductor manufacturing company, ltd. (20240378367). STATIC VOLTAGE DROP PREDICTION SYSTEM AND METHOD simplified abstract
Contents
STATIC VOLTAGE DROP PREDICTION SYSTEM AND METHOD
Organization Name
taiwan semiconductor manufacturing company, ltd.
Inventor(s)
Chia-Chun Liao of Hsinchu City (TW)
ShiWen Tan of Nanjing City (CN)
Cheng Jin of Nanjing City (CN)
STATIC VOLTAGE DROP PREDICTION SYSTEM AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378367 titled 'STATIC VOLTAGE DROP PREDICTION SYSTEM AND METHOD
The patent application describes a method involving predicting static voltage drop (SIR) in a semiconductor device based on floorplan data using machine learning and compensation values.
- Receiving floorplan data of a semiconductor device layout by SIR prediction circuitry.
- Generating a first SIR result using a machine learning model based on the floorplan data.
- Calculating a first similarity value by comparing the floorplan data with training data.
- Generating a second SIR result by applying a compensation value from a mapping table to the first SIR result.
- Updating the floorplan data with bump assignment data based on a comparison with predetermined SIR values.
Potential Applications: - Semiconductor manufacturing - Circuit design optimization - Quality control in semiconductor production
Problems Solved: - Improving accuracy in predicting static voltage drop - Enhancing efficiency in semiconductor device design - Streamlining the floorplan layout process
Benefits: - Increased reliability in semiconductor devices - Cost savings through optimized design - Faster time to market for semiconductor products
Commercial Applications: Title: "Advanced Semiconductor Design Optimization Technology" This technology can be utilized by semiconductor companies to improve the efficiency and accuracy of their design processes, leading to higher quality products and a competitive edge in the market.
Questions about the technology: 1. How does this method compare to traditional static voltage drop prediction techniques?
This method leverages machine learning and compensation values to enhance accuracy and efficiency in predicting static voltage drop, surpassing traditional techniques.
2. What are the potential implications of this technology on the semiconductor industry?
This technology could revolutionize semiconductor design processes, leading to faster development cycles and improved product performance.
Original Abstract Submitted
a method is provided, including following operations: receiving, by a static voltage drop (sir) prediction circuitry, floorplan data of a floorplan layout of a semiconductor device; generating a first sir result by a machine learning model based on the floorplan data; generating a first similarity value based on a comparison of the floorplan data with a plurality of training data; generating a second sir result based on the first sir result and a first compensation value, corresponding to the first similarity value, in a mapping table; and generating a bump assignment data to update the floorplan data based on a comparison between the second sir result with a plurality of predetermined sir values.
