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Interconnection lengths and delays estimation for communication links in FPGAs
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International Workshop on System-Level Interconnect Prediction archive
Proceedings of the 2008 international workshop on System level interconnect prediction table of contents
Newcastle, United Kingdom
SESSION: FPGA interconnect modeling and architectures table of contents
Pages 1-10  
Year of Publication: 2008
ISBN:978-1-59593-918-0
Authors
Terrence Mak  Imperial College, London, United Kngdm
Pete Sedcole  Imperial College, London, United Kngdm
Peter Y. K. Cheung  Imperial College, London, United Kngdm
Wayne Luk  Imperial College, London, United Kngdm
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

This paper presents a new stochastic model to predictinterconnection lengths of communication links in FPGAs. Based on a stochastic inter-module routing model, expected length and variance of interconnections have been rigorously derived and, thus, delay can be computed based on the length estimate. The theoretical results are compared with experimental results of lengths and delays, which are obtained from implementations of links circuits in an FPGA. The stochastic model provides an accurate prediction of length with an average error of 6.3%. Results also show that theproposed model produces reliable predictions of delay and therefore the methodology can be applied to early stage planning and design optimization for communication links. Moreover, as a byproduct of this work, we also present in this paper an interesting phenomenon which we term "interconnection fringing". The fringing effect is attributed to the competition for routing resources in a communication link and will lengthen interconnections and, therefore, increase the delay.


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:
Terrence Mak: colleagues
Pete Sedcole: colleagues
Peter Y. K. Cheung: colleagues
Wayne Luk: colleagues