Efficient Recycling Subspace Truncation Method for Periodic Small-Signal Analysis
Periodic small-signal analysis is crucial but timeconsuming in RF simulation, since it may deal with many frequency points. While the Krylov subspace recycling method has greatly accelerated the simulation, the increasing memory cost in large-scale RF simulation has become a new bottleneck. A remedy...
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| Veröffentlicht in: | 2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7 |
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22.06.2025
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| Abstract | Periodic small-signal analysis is crucial but timeconsuming in RF simulation, since it may deal with many frequency points. While the Krylov subspace recycling method has greatly accelerated the simulation, the increasing memory cost in large-scale RF simulation has become a new bottleneck. A remedy for memory shortage is to restart the recycling algorithm, but may cause excessive extra iterations. To address this issue, this paper outlines a framework of recycling subspace truncation method for periodic small-signal analysis, provided with an efficient initial guess choice method and a Floquet-based subspace truncation strategy. Numerical results show that compared to the existing methods, the proposed method achieves up to 2.5 \times speedup in the same memory cost. |
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| AbstractList | Periodic small-signal analysis is crucial but timeconsuming in RF simulation, since it may deal with many frequency points. While the Krylov subspace recycling method has greatly accelerated the simulation, the increasing memory cost in large-scale RF simulation has become a new bottleneck. A remedy for memory shortage is to restart the recycling algorithm, but may cause excessive extra iterations. To address this issue, this paper outlines a framework of recycling subspace truncation method for periodic small-signal analysis, provided with an efficient initial guess choice method and a Floquet-based subspace truncation strategy. Numerical results show that compared to the existing methods, the proposed method achieves up to 2.5 \times speedup in the same memory cost. |
| Author | Xu, Yuncheng Yang, Fan Su, Yangfeng |
| Author_xml | – sequence: 1 givenname: Yuncheng surname: Xu fullname: Xu, Yuncheng organization: Fudan University,School of Mathematical Sciences,Shanghai,China – sequence: 2 givenname: Fan surname: Yang fullname: Yang, Fan organization: Fudan University,State Key Laboratory of Integrated Chips and Systems,Microelectronics Department,Shanghai,China – sequence: 3 givenname: Yangfeng surname: Su fullname: Su, Yangfeng organization: Fudan University,School of Mathematical Sciences,Shanghai,China |
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| Snippet | Periodic small-signal analysis is crucial but timeconsuming in RF simulation, since it may deal with many frequency points. While the Krylov subspace recycling... |
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| SubjectTerms | Circuit synthesis Computational efficiency Convergence Costs Design automation Iterative methods Krylov subspace recycling periodic small-signal analysis Radio frequency Recycling RF simulation subspace truncation Time-frequency analysis |
| Title | Efficient Recycling Subspace Truncation Method for Periodic Small-Signal Analysis |
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