Title :
A fast parallel sparse solver for SPICE-based circuit simulators
Author :
Xiaoming Chen ; Yu Wang ; Huazhong Yang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
The sparse solver is a serious bottleneck in SPICE-based circuit simulators. Although several existing researches have proposed some circuit simulation-oriented parallel solvers, there is still some room to improve the speed and scalability of these solvers. This paper proposes a fast parallel sparse solver based on a pivoting-reduction technique which takes full advantage of features of circuit simulation. Experimental results show that on average, the proposed solver is up to 50% faster than the state-of-the-art solver NICSLU, and up to 3.3× faster than KLU. Real DC simulation reveals that our solver is faster than NICSLU, PARDISO, and commercial solvers.
Keywords :
circuit simulation; integrated circuits; parallel processing; KLU; NICSLU; PARDISO; SPICE-based circuit simulator; Simulation Program with Integrated Circuit Emphasis; circuit simulation-oriented parallel solvers; parallel sparse solver; pivoting-reduction technique; Acceleration; Benchmark testing; Circuit simulation; Integrated circuit modeling; Pipelines; Scalability; Sparse matrices;
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
Conference_Location :
Grenoble
Print_ISBN :
978-3-9815-3704-8