Information Technology Reference
In-Depth Information
MATLAB. For solving the circuit equations in state variable form, the Runge-
Kutta method has been implemented on the SV form equations. The results show
the SV approach speeds up the calculation significantly. Although the problem
is still solved for a one-dimensional time marching problem, the successful for-
mulation of state space equations allows us to model the problem in a 2-D way,
enabling us to explore the hypothesis that we can solve the problem with less
dependency on time, by partitioning the circuit into subcircuits and considering
them as states to solve independently.
References
1. Gulati, K., Croix, J., Khatri, S., Shastry, R.: Fast circuit simulation on graph-
ics processing units. In: Asia and South Pacific Design Automation Conference,
ASP-DAC 2009, pp. 403-408 (January 2009)
2. Poore, R.: Gpu-accelerated time-domain circuit simulation. In: Custom Integrated
Circuits Conference, CICC 2009, pp. 629-632. IEEE (September 2009)
3. Bayoumi, A.M., Hanafy, Y.Y.: Massive parallelization of SPICE device model
evaluation on GPU-based SIMD architectures. In: Proceedings of the 1st Interna-
tional Forum on Next-Generation Multicore/Manycore Technologies, IFMT 2008,
pp. 12:1-12:5. ACM (2008)
4. Perng, R., Weng, T., Li, K.: On performance enhancement of circuit simulation
using multithreaded techniques. In: International Conference on Computational
Science and Engineering, CSE 2009, vol. 1, pp. 158-165. IEEE (2009)
5. Peng, H., Cheng, C.: Parallel transistor level full-chip circuit simulation. In: Design,
Automation & Test in Europe Conference & Exhibition, DATE 2009, pp. 304-307.
IEEE (2009)
6. Andjelkovic, B., Litovski, V., Zerbe, V.: Grid-enabled parallel simulation based on
parallel equation formulation. ETRI Journal 32(4) (2010)
7. Nagel, L.W.: SPICE2: A Computer Program to Simulate Semiconductor Circuits.
PhD thesis, EECS Department, University of California, Berkeley (1975)
8. Litovski, V., Zwolinski, M.: VLSI circuit simulation and optimization. Springer
(1996)
9. Hill, M., Marty, M.: Amdahl's law in the multicore era. Computer 41(7), 33-38
(2008)
10. Kang, Y., Lacy, J.: Conversion of MNA equations to state variable form for non-
linear dynamical circuits. Electronics Letters 28(13), 1240-1241 (1992)
11. Zwolinski, M.: Multi-threaded circuit simulation using openmp. In: LASCAS 2010:
IEEE Latin American Symposium on Circuits and Systems (February 2010)
12. Honkala, M., Roos, J., Valtonen, M.: New multilevel newton-raphson method for
parallel circuit simulation. In: Proceedings of European Conference on Circuit The-
ory and Design, vol. 1, pp. 113-116 (2001)
13. Rabbat, N., Sangiovanni-Vincentelli, A., Hsieh, H.: A multilevel newton algorithm
with macromodeling and latency for the analysis of large-scale nonlinear circuits
in the time domain. IEEE Transactions on Circuits and Systems 26(9), 733-741
(1979)
14. Horak, V., Gruber, P.: Parallel numerical solution of 2-d heat equation. Parallel
Numerics 5, 47-56 (2005)
 
Search WWH ::




Custom Search