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Multilevel full-chip routing with testability and yield enhancement
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Source International Workshop on System-Level Interconnect Prediction archive
Proceedings of the 2005 international workshop on System level interconnect prediction table of contents
San Francisco, California, USA
SESSION: Interconnect optimization table of contents
Pages: 29 - 36  
Year of Publication: 2005
ISBN:1-59593-033-7
Authors
Katherine Shu-Min Li  National Chiao Tung University, Hsichu, Taiwan
Chung-Len Lee  National Chiao Tung University, Hsichu, Taiwan
Yao-Wen Chang  National Taiwan University, Taipei, Taiwan
Chauchin Su  National Chiao Tung University, Hsichu, Taiwan
Jwu-E Chen  National Central University, Chungli, Taiwan
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

We propose a multilevel full-chip routing algorithm that improves testability and diagnosability, manufacturability, and signal integrity for yield enhancement. Two major issues are addressed. (1) The oscillation ring (OR) test and its diagnosis scheme for interconnect based on the IEEE P1500 are integrated into the multilevel routing framework to achieve testability enhancement. (2) We present a heuristic to balance routing congestion to optimize the multiple-fault probability, chemical mechanic polishing (CMP) and optical proximity correction (OPC) induced manufacturability, and crosstalk effects, for yield improvement. Experimental results on the MCNC benchmark circuits show that the proposed OR method achieves 100% fault coverage and the maximal diagnosis resolution for interconnects, and the multilevel routing algorithm effectively balances the routing density to achieve 100% routing completion. Compared with [14], the experimental results show that our router improves the maximal congestion by 1.24X--6.11X in runtime speedup by 1.08X--7.66X, and improves the average congestion by 1.00X--4.52X with the improved congestion deviation by 1.37X--5.55X.


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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Collaborative Colleagues:
Katherine Shu-Min Li: colleagues
Chung-Len Lee: colleagues
Yao-Wen Chang: colleagues
Chauchin Su: colleagues
Jwu-E Chen: colleagues