SG11202105438XA - Method and system for predicting performance in electronic design based on machine learning - Google Patents
Method and system for predicting performance in electronic design based on machine learningInfo
- Publication number
- SG11202105438XA SG11202105438XA SG11202105438XA SG11202105438XA SG11202105438XA SG 11202105438X A SG11202105438X A SG 11202105438XA SG 11202105438X A SG11202105438X A SG 11202105438XA SG 11202105438X A SG11202105438X A SG 11202105438XA SG 11202105438X A SG11202105438X A SG 11202105438XA
- Authority
- SG
- Singapore
- Prior art keywords
- machine learning
- design based
- electronic design
- predicting performance
- predicting
- Prior art date
Links
- 238000010801 machine learning Methods 0.000 title 1
- 238000000034 method Methods 0.000 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/31—Design entry, e.g. editors specifically adapted for circuit design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Geometry (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Feedback Control In General (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| SG10201810573V | 2018-11-26 | ||
| PCT/SG2019/050575 WO2020112023A1 (en) | 2018-11-26 | 2019-11-25 | Method and system for predicting performance in electronic design based on machine learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202105438XA true SG11202105438XA (en) | 2021-06-29 |
Family
ID=70855373
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202105438XA SG11202105438XA (en) | 2018-11-26 | 2019-11-25 | Method and system for predicting performance in electronic design based on machine learning |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220004900A1 (en) |
| SG (1) | SG11202105438XA (en) |
| WO (1) | WO2020112023A1 (en) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11676063B2 (en) * | 2019-03-28 | 2023-06-13 | International Business Machines Corporation | Exposing payload data from non-integrated machine learning systems |
| US11829871B2 (en) * | 2019-08-20 | 2023-11-28 | Lg Electronics Inc. | Validating performance of a neural network trained using labeled training data |
| US11366948B2 (en) * | 2019-10-18 | 2022-06-21 | Synopsys, Inc. | Machine-learning enhanced compiler |
| KR20220148913A (en) * | 2020-03-14 | 2022-11-07 | 시놉시스, 인크. | Machine Learning Based Metric Prediction in Early Stage Circuit Design |
| US20220027784A1 (en) * | 2020-07-27 | 2022-01-27 | International Business Machines Corporation | Incremental learning through reverse data distribution |
| US11775720B2 (en) | 2021-07-02 | 2023-10-03 | International Business Machines Corporation | Integrated circuit development using machine learning-based prediction of power, performance, and area |
| US11790139B1 (en) * | 2022-04-18 | 2023-10-17 | Xilinx, Inc. | Predicting a performance metric based on features of a circuit design and explaining marginal contributions of the features to the prediction |
| CN114722746B (en) * | 2022-05-24 | 2022-11-01 | 苏州浪潮智能科技有限公司 | Chip aided design method, device and equipment and readable medium |
| WO2023242703A1 (en) * | 2022-06-14 | 2023-12-21 | Fei Company | Device for use with an electrical component, system comprising device for use with an electrical component, method of operating electrical component |
| CN116542196B (en) * | 2023-03-13 | 2023-09-12 | 中国人民解放军国防科技大学 | Integrated circuit time sequence analysis method, system and medium based on effective clock path |
| CN116757031B (en) * | 2023-06-15 | 2024-02-09 | 中南大学 | Multi-factor analysis method and device for influencing metal-metal bonding performance |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10102320B2 (en) * | 2015-02-26 | 2018-10-16 | Autodesk, Inc. | Predictive multi-user client-server electronic circuit design system utilizing machine learning techniques |
| CN104834772B (en) * | 2015-04-22 | 2018-01-12 | 复旦大学 | Aircraft wing based on artificial neural network/wing inverse design method |
-
2019
- 2019-11-25 US US17/296,169 patent/US20220004900A1/en active Pending
- 2019-11-25 SG SG11202105438XA patent/SG11202105438XA/en unknown
- 2019-11-25 WO PCT/SG2019/050575 patent/WO2020112023A1/en active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020112023A1 (en) | 2020-06-04 |
| US20220004900A1 (en) | 2022-01-06 |
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