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Floorplanning with power supply noise avoidance
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Source Asia and South Pacific Design Automation Conference archive
Proceedings of the 2003 Asia and South Pacific Design Automation Conference table of contents
Kitakyushu, Japan
SESSION: Performance driven floorplan table of contents
Pages: 427 - 430  
Year of Publication: 2003
ISBN:0-7803-7660-9
Authors
Hung-Ming Chen  University of Texas at Austin, Austin, TX
Li-Da Huang  University of Texas at Austin, Austin, TX
I-Min Liu  Cadence Design Systems, Santa Clara, CA
Minghorng Lai  Cadence Design Systems, Santa Clara, CA
D. F. Wong  University of Illinois at Urbana-Champaign, Urbana, IL
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
IPSJ : Information Processing Society of Japan
IEICE : Institute of Electronics, Information and Communication Engineers
: IEEE Circuits and Systems Society
Publisher
ACM  New York, NY, USA
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ABSTRACT

With today's advanced integrated circuits (ICs) manufacturing technology in deep submicron (DSM) environment, we can integrate entire electronic systems on a single chip (SoC). However, without careful power supply planning in layout, the design of chips will suffer from mostly signal integrity problems including IR-drop, ΔI noise, and IC reliability. Postroute methodologies in solving signal integrity problem have been applied but they will cause a long turn-around time, which adds costly delays to time-to-market. In this paper, we study the problem of power supply noise avoidance as early as in floorplanning stage. We show that the noise avoidance in power supply planning problem can be formulated as a constrained maximum flow problem and present an efficient yet effective heuristic to handle the problem. Experimental results are encouraging. With slight increase of total wirelength, we achieve almost no-IR-drop requirement violation and 46.6% of improvement on ΔI noise constraint violation compared with a previous approach.


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:
Hung-Ming Chen: colleagues
Li-Da Huang: colleagues
I-Min Liu: colleagues
Minghorng Lai: colleagues
D. F. Wong: colleagues