MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866916097531314176 |
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| author | Garyfallou, Dimitrios Stefanou, Athanasios Giamouzis, Christos Antoniadis, Moschos Chararas, Georgios Chatzis, Konstantinos Samaras, Dimitris Themeli, Rafaela Michailidis, Anastasios Gogolou, Vasiliki Zachos, Nikos Evmorfopoulos, Nestor Noulis, Thomas Pavlidis, Vasilis F. Hatzopoulos, Alkiviadis Chatzineofytou, Elpida Moisiadis, Yiannis |
| author_facet | Garyfallou, Dimitrios Stefanou, Athanasios Giamouzis, Christos Antoniadis, Moschos Chararas, Georgios Chatzis, Konstantinos Samaras, Dimitris Themeli, Rafaela Michailidis, Anastasios Gogolou, Vasiliki Zachos, Nikos Evmorfopoulos, Nestor Noulis, Thomas Pavlidis, Vasilis F. Hatzopoulos, Alkiviadis Chatzineofytou, Elpida Moisiadis, Yiannis |
| contents | Model order reduction (MOR) is crucial for the design process of integrated circuits. Specifically, the vast amount of passive RLCk elements in electromagnetic models extracted from physical layouts exacerbates the extraction time, the storage requirements, and, most critically, the post-layout simulation time of the analyzed circuits. The MORCIC project aims to overcome this problem by proposing new MOR techniques that perform better than commercial tools. Experimental evaluation on several analog and mixed-signal circuits with millions of elements indicates that the proposed methods lead to x5.5 smaller ROMs while maintaining similar accuracy compared to golden ROMs provided by ANSYS RaptorX. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10236 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits Garyfallou, Dimitrios Stefanou, Athanasios Giamouzis, Christos Antoniadis, Moschos Chararas, Georgios Chatzis, Konstantinos Samaras, Dimitris Themeli, Rafaela Michailidis, Anastasios Gogolou, Vasiliki Zachos, Nikos Evmorfopoulos, Nestor Noulis, Thomas Pavlidis, Vasilis F. Hatzopoulos, Alkiviadis Chatzineofytou, Elpida Moisiadis, Yiannis Numerical Analysis Hardware Architecture Computational Engineering, Finance, and Science Model order reduction (MOR) is crucial for the design process of integrated circuits. Specifically, the vast amount of passive RLCk elements in electromagnetic models extracted from physical layouts exacerbates the extraction time, the storage requirements, and, most critically, the post-layout simulation time of the analyzed circuits. The MORCIC project aims to overcome this problem by proposing new MOR techniques that perform better than commercial tools. Experimental evaluation on several analog and mixed-signal circuits with millions of elements indicates that the proposed methods lead to x5.5 smaller ROMs while maintaining similar accuracy compared to golden ROMs provided by ANSYS RaptorX. |
| title | MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits |
| topic | Numerical Analysis Hardware Architecture Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2401.10236 |