Fast Steady-State Thermal Analysis
| Autor: | Wei-Hsuan Yang, Chun-Hao Chang, Liang-Ying Lu, Yeong-Jar Chang, Lih-Yih Chiou, Juin-Ming Lu |
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| Rok vydání: | 2018 |
| Předmět: |
Steady state (electronics)
Speedup Materials science Iterative method 0202 electrical engineering electronic engineering information engineering Applied mathematics System on a chip 02 engineering and technology Thermal analysis Matrix multiplication 020202 computer hardware & architecture Matrix decomposition Sparse matrix |
| Zdroj: | ISOCC |
| DOI: | 10.1109/isocc.2018.8649912 |
| Popis: | Thermal issues are gaining critical in system-on-a-chip. We propose a two-stage thermal analysis approach using big and little matrix operations with a matrix compression method in general successive over-relaxation (SOR) to speed up the analysis of a steady-state thermal profile, referred to as TSA. Experimental results show that the analysis performance of TSA is faster than the general SOR by 2145× in average and faster than the popular Supernodal LU (SuperLU) at least by 1.55× for large size of sparse matrices. |
| Databáze: | OpenAIRE |
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