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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shih-Hung Weng Quan Chen Ngai Wong Chung-Kuan Cheng |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. of EEE, University of Hong Kong, Hong Kong (Quan Chen; Ngai Wong) || Dept. of CSE, University of California San Diego, La Jolla, CA (Shih-Hung Weng; Chung-Kuan Cheng) |
| Abstract | We propose an advanced matrix exponential method (MEXP) to handle the transient simulation of stiff circuits and enable parallel simulation. We analyze the rapid decaying of fast transition elements in Krylov subspace approximation of matrix exponential and leverage such scaling effect to leap larger steps in the later stage of time marching. Moreover, matrix-vector multiplication and restarting scheme in our method provide better scalability and parallelizability than implicit methods. The performance of ordinary MEXP can be improved up to 4.8 times for stiff cases, and the parallel implementation leads to another 11 times speedup. Our approach is demonstrated to be a viable tool for ultra-large circuit simulations (with 1.6M ∼ 12M nodes) that are not feasible with existing implicit methods. |
| Starting Page | 407 |
| Ending Page | 414 |
| File Size | 839261 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450315739 |
| ISSN | 10923152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Graphics processing units Vectors Sparse matrices Eigenvalues and eigenfunctions Interpolation Circuit simulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Computer Science Applications Software |
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