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Improved crosstalk modeling for noise constrained interconnect optimization
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Source Asia and South Pacific Design Automation Conference archive
Proceedings of the 2001 Asia and South Pacific Design Automation Conference table of contents
Yokohama, Japan
Pages: 373 - 378  
Year of Publication: 2001
ISBN:0-7803-6634-4
Authors
Jason Cong  Department of Computer Science, University of California, Los Angeles, CA
David Zhigang Pan  Department of Computer Science, University of California, Los Angeles, CA
Prasanna V. Srinivas  Magma Design Automation, Inc., 2 Results Way, Cupertino, CA
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
IPSJ : Information Processing Society of Japan
IEEE HK CAS : IEEE HK CAS and Comm. Joint Chapter
IEICE : Inst of Electronics, Info & Communication Engineers
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 31,   Citation Count: 20
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ABSTRACT

This paper presents a much improved, highly accurate yet efficient crosstalk noise model, the 2-pie model, and applies it to noise-constrained interconnect optimizations. Compared with previous crosstalk noise models of similar complexity, our 2-pie model takes into consideration many key parameters, such as coupling locations (near-driver or near-receiver), and the coarse distributed RC characteristics for victim net. Thus, it is very accurate (less than 6% error on average compared with HSPICE simulations). Moreover, our model provides simple closed-form expressions for both peak noise amplitude and noise width, so it is very useful for noise-aware layout optimizations. In particular, we demonstrate its effectiveness in two applications: (i) Optimization rule generation for noise reduction using various interconnect optimization techniques; (ii) Simultaneous wire spacing to multiple nets for noise constrained interconnect minimization.


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.

 
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CITED BY  20

Collaborative Colleagues:
Jason Cong: colleagues
David Zhigang Pan: colleagues
Prasanna V. Srinivas: colleagues