Name
Abstract | ||
|---|---|---|
Time domain power grid simulations provide accurate estimations of power supply noises for design verifications. Despite extensive researches, it remains a very challenging problem to perform the simulations efficiently -- the large power grid sizes demand tremendous computational resources and the causality between consecutive time steps hinders parallel implementations. Frequency domain and model order reduction (MOR) techniques promise scalability, though the solution accuracy may become a concern without trading off running time. In this paper, we present a framework for power grid transient analysis where time domain simulations are assisted by MOR techniques for scalability without losing much of the solution accuracy. Utilizing a direct sparse matrix solver and the multinode moment matching technique, we are able to achieve more than 5X speed-up using 16 processor cores distributed over two servers when simulating 1000 time steps for all the six IBM power grid simulation benchmarks, in comparison to the time domain simulations using only the direct solver.
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Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCAD.2013.6691169 | ICCAD |
Keywords | Field | DocType |
scalable power grid,time domain power grid simulations,power grid transient analysis,power system transients,mor-assisted time-domain simulations,time domain simulation,mor-assisted time-domain simulation,time step,processor cores,matrix algebra,time domain simulations,power supply noise,direct sparse matrix solver,ibm power grid simulation benchmarks,time domain power grid,time-domain analysis,solution accuracy,frequency domain,consecutive time step,model order reduction,power grids,power supply noises,ibm power grid simulation,large power grid size,multinode moment matching technique,verification,electromigration,redundancy | Frequency domain,Time domain,Model order reduction,Computer science,Parallel computing,Server,Real-time computing,Electronic engineering,Solver,Multi-core processor,Sparse matrix,Scalability | Conference |
ISSN | ISBN | Citations |
1092-3152 | 978-1-4799-1069-4 | 2 |
PageRank | References | Authors |
0.38 | 20 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Wang | 1 | 3322 | 301.29 |
| Xuanxing Xiong | 2 | 84 | 5.90 |