Feasibility Prediction for Rapid IC Design Space Exploration
The DARPA POSH program echoes with the research community and identifies that engineering productivity has fallen behind Moore’s law, resulting in the prohibitive increase in IC design cost at leading technology nodes. The primary reason is that it requires many computing resources, expensive tools,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/7/1161 |
| _version_ | 1797439669331296256 |
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| author | Riadul Islam |
| author_facet | Riadul Islam |
| author_sort | Riadul Islam |
| collection | DOAJ |
| description | The DARPA POSH program echoes with the research community and identifies that engineering productivity has fallen behind Moore’s law, resulting in the prohibitive increase in IC design cost at leading technology nodes. The primary reason is that it requires many computing resources, expensive tools, and even many days to complete a design implementation. However, at the end of this process, some designs could not meet the design constraints and become unroutable, creating a vicious circuit design cycle. As a result, designers have to re-run the whole process after design modification. This research applied a machine learning approach to automatically identify design constraints and design rule checking (DRC) violation issues and help the designer identify design constraints with optimal DRCs before the long detailed routing process through iterative greedy search. The proposed algorithm achieved up to 99.99% design constraint prediction accuracy and reduced 98.4% DRC violations with only a 6.9% area penalty. |
| first_indexed | 2024-03-09T11:56:25Z |
| format | Article |
| id | doaj.art-467bfa11eff7469c8a94e08fc1aa8945 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T11:56:25Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-467bfa11eff7469c8a94e08fc1aa89452023-11-30T23:08:17ZengMDPI AGElectronics2079-92922022-04-01117116110.3390/electronics11071161Feasibility Prediction for Rapid IC Design Space ExplorationRiadul Islam0Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD 21250, USAThe DARPA POSH program echoes with the research community and identifies that engineering productivity has fallen behind Moore’s law, resulting in the prohibitive increase in IC design cost at leading technology nodes. The primary reason is that it requires many computing resources, expensive tools, and even many days to complete a design implementation. However, at the end of this process, some designs could not meet the design constraints and become unroutable, creating a vicious circuit design cycle. As a result, designers have to re-run the whole process after design modification. This research applied a machine learning approach to automatically identify design constraints and design rule checking (DRC) violation issues and help the designer identify design constraints with optimal DRCs before the long detailed routing process through iterative greedy search. The proposed algorithm achieved up to 99.99% design constraint prediction accuracy and reduced 98.4% DRC violations with only a 6.9% area penalty.https://www.mdpi.com/2079-9292/11/7/1161design rule checkelectronic design automation (EDA)decision treeIC designdesign constraints |
| spellingShingle | Riadul Islam Feasibility Prediction for Rapid IC Design Space Exploration Electronics design rule check electronic design automation (EDA) decision tree IC design design constraints |
| title | Feasibility Prediction for Rapid IC Design Space Exploration |
| title_full | Feasibility Prediction for Rapid IC Design Space Exploration |
| title_fullStr | Feasibility Prediction for Rapid IC Design Space Exploration |
| title_full_unstemmed | Feasibility Prediction for Rapid IC Design Space Exploration |
| title_short | Feasibility Prediction for Rapid IC Design Space Exploration |
| title_sort | feasibility prediction for rapid ic design space exploration |
| topic | design rule check electronic design automation (EDA) decision tree IC design design constraints |
| url | https://www.mdpi.com/2079-9292/11/7/1161 |
| work_keys_str_mv | AT riadulislam feasibilitypredictionforrapidicdesignspaceexploration |