Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/99022
Title: A GPU-accelerated envelope-following method for switching power converter simulation
Authors: Tan, S. X.-D.
Liu, Xuexin
Wang, Hai
Yu, Hao
Issue Date: 2012
Abstract: In this paper, we propose a new envelope-following parallel transient analysis method for the general switching power converters. The new method first exploits the parallelisim in the envelope-following method and parallelize the Newton update solving part, which is the most computational expensive, in GPU platforms to boost the simulation performance. To further speed up the iterative GMRES solving for Newton update equation in the envelope-following method, we apply the matrix-free Krylov basis generation technique, which was previously used for RF simulation. Last, the new method also applies more robust Gear-2 integration to compute the sensitivity matrix instead of traditional integration methods. Experimental results from several integrated on-chip power converters show that the proposed GPU envelope-following algorithm leads to about 10x speedup compared to its CPU counterpart, and 100x faster than the traditional envelop-following methods while still keeps the similar accuracy.
URI: https://hdl.handle.net/10356/99022
http://hdl.handle.net/10220/12797
DOI: 10.1109/DATE.2012.6176701
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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