ACM Home Page
Please provide us with feedback. Feedback
Interconnect implications of growth-based structural models for VLSI circuits
Full text PdfPdf (256 KB)
Source International Workshop on System-Level Interconnect Prediction archive
Proceedings of the 2001 international workshop on System-level interconnect prediction table of contents
Sonoma, California, United States
Pages: 99 - 106  
Year of Publication: 2001
ISBN:1-58113-315-4
Authors
Chung-Kuan Cheng  UCSD Computer Science and Engineering Dept., La Jolla, CA
Andrew B. Kahng  UCSD Computer Science and Engineering Dept., La Jolla, CA and UCSD Electrical and Computer Engineering Dept., La Jolla, CA
Bao Liu  UCSD Computer Science and Engineering Dept., La Jolla, CA
Sponsor
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 5,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/368640.368730
What is a DOI?

ABSTRACT

Power-law scaling phenomena that govern VLSI circuits have for several decades formed the foundation of VLSI interconnect estimation. This research investigates possible alternative power-law phenomena in VLSI circuits. In particular, we develop newrandom growthmodels and assess their implications for VLSI interconnect structure. We assess our models' predictions forfanout,crossing edge, andterminalscaling using test data from 21 industry standard-cell designs with up to 283K cells. Our work demonstrates the possibility of non-Rent based, yet equally plausible and well-fitting, structural models for VLSI circuits and their interconnections.


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
A. Barabasi, R. Albert and H. Jeong, "Mean-field theory for scale-free random networks", Physica, vol. A 272, 1999, pp. 173-187, http://www.nd.edu/~networks/Papers/ physica.pdf.
 
2
A. E. Caldwell, A. B. Kahng and I. L. Markov, "Relaxed Partitioning Balance Constraints in Top-Down Placement", Proc. IEEE ASIC Conference, 1998, pp. 229-232.
3
4
 
5
J. A. Davis, V. K. De and J. D. Meindl, "A Stochastic Wire- Length Distribution for Gigascale Integration(GSI)-part 1: Derivation and Validation", IEEE Trans. on Electron Dev., 45, 1998, pp. 580-589.
 
6
W. E. Donath, "Placement and Average Interconnection Lengths of Computer Logic", IEEE Trans. on Circuits and Systems CAS-26(4) (1979), pp. 272-277.
 
7
L. Hagen, A. B. Kahng, F. Kurdahi and C. Ramachandran, "On the Intrinsic Rent Parameter and New Spectra-Based Methods for Wireability Estimation", IEEE Trans. on CAD 13(1) (1994), pp. 27-37.
 
8
J. M. Kleinberg, R. Kumar, P. Raghavan, S. Rajagopalan and A. Tomkins, "The Web as a graph: measurements, models, and methods", Proc. International Conference on Combinatorics and Computing, 1999, pp. 26-28.
 
9
B. S. Landman and R. L. Russo, "On a Pin versus Block Relationship for Partitions of Logic Graphs", IEEE Trans. on Computers C-20 (1971), pp. 1469-1479.
 
10
D. Stroobandt, A Priori Wire Length Estimates for Digital Design, Kluwer Academic Publishers, 2000, pp. 140.
 
11
12

Collaborative Colleagues:
Chung-Kuan Cheng: colleagues
Andrew B. Kahng: colleagues
Bao Liu: colleagues