| On Routing Demand and Congestion Estimation for FPGAs |
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Asia and South Pacific Design Automation Conference
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Proceedings of the 2002 Asia and South Pacific Design Automation Conference
table of contents
Page: 639
Year of Publication: 2002
ISBN:0-7695-1441-3
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Authors
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Shankar Balachandran
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Center for Integrated Circuits and Systems, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, PO Box830688, Richardson, TX
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Parivallal Kannan
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Center for Integrated Circuits and Systems, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, PO Box830688, Richardson, TX
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Dinesh Bhatia
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Center for Integrated Circuits and Systems, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, PO Box830688, Richardson, TX
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IEEE Computer Society
Washington, DC, USA
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ABSTRACT
Interconnection planning is becoming an important design issue for ASICs and large FPGAs. As the technology shrinks and the design density increases, proper planning of routing resources becomes all the more important to ensure rapid and feasible design convergence. One of the most important issues for planning interconnection is the ability to predict the routability of a given placed design. This paper provides insight into the workings of recently proposed method by Lou et. al.[Lou_Shankar] and compares it with our proposed methodology, fGREP[fGREP]. We have implemented the two methods for a generic FPGA architecture and compare the performance, accuracy and usability of their estimates. We use the well known FPGA physical design suite VPR[VPR], as a common comparison tool. Our experiments show that fGREP produces far better routing estimates but at larger execution times than Lou's method. Insight into what makes the methods work and where they falter are also discussed in detail.
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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