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Power grid reduction based on algebraic multigrid principles
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 40th annual Design Automation Conference table of contents
Anaheim, CA, USA
SESSION: Power grid analysis and optimization table of contents
Pages: 109 - 112  
Year of Publication: 2003
ISBN:1-58113-688-9
Authors
Haihua Su  IBM Austin Research Lab, Austin, TX
Emrah Acar  IBM Austin Research Lab, Austin, TX
Sani R. Nassif  IBM Austin Research Lab, Austin, TX
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 12,   Downloads (12 Months): 42,   Citation Count: 15
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ABSTRACT

With the scaling of technology, power grid noise is becoming increasingly significant for circuit performance. A typical power grid circuit contains millions of linear elements, making noise analysis and verification challenging in terms of both run time and memory. We propose a power grid reduction scheme based on algebraic multigrid principles, in which the coarser-level grid and the restriction operators are constructed automatically from the circuit matrices. This method is suitable for large-scale power grid transient and AC analysis. Experimental results show an order of magnitude speed-up over flat analysis in addition to practical tradeoffs for accuracy, CPU time and memory usage.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
W. L. Briggs. A Multigrid Tutorial, 1987.
 
2
J. Fang, Z. Chen, Y. Chen, D. Xue, and J. Zhao. Integrated Electromagnetic and Circuit Simulation for Signal Integrity Analysis of High-Speed Electronic Packages. In Proc. of 1997 Government Microcircuit Applications Conference, pages 347--350, Las Vegas, NV, March 1997.
 
3
W. Hackbusch. Multi-Grid Methods and Applications. Springer-Verlag Berlin, Berlin, 1985.
 
4
J. N. Kozhaya, S. R. Nassif, and F. N. Najm. A Multigrid-Like Technique for Power Grid Analysis. IEEE Trans. CAD, October 2002.
5
 
6
L. T. Pillage, R. A. Rohrer, and C. Visweswariah. Electronic and System Simulation Methods. McGraw-Hill, New York, NY, 1995.
 
7
J. W. Ruge and K. Stuben. Handbook of Mathematics and Computational Science. S. McCormick, Ed., 1987.

CITED BY  15

Collaborative Colleagues:
Haihua Su: colleagues
Emrah Acar: colleagues
Sani R. Nassif: colleagues