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FPGA architecture characterization for system level performance analysis
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Source Design, Automation, and Test in Europe archive
Proceedings of the conference on Design, automation and test in Europe: Proceedings table of contents
Munich, Germany
SESSION: Techniques for architecture exploration and characterisation table of contents
Pages: 734 - 739  
Year of Publication: 2006
ISBN:3-9810801-0-6
Authors
Douglas Densmore  University of California, Berkeley
Adam Donlin  Xilinx Research Labs
Alberto Sangiovanni-Vincentelli  University of California, Berkeley
Sponsors
: The EDA Consortium
EDAA : European Design and Automation Association
IEEE-CS\DATC : The IEEE Computer Society
Publisher
European Design and Automation Association  3001 Leuven, Belgium, Belgium
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ABSTRACT

We present a modular and scalable approach for automatically extracting actual performance information from a set of FPGA-based architecture topologies. This information is used dynamically during simulation to support performance analysis in a System Level Design environment. The topologies capture systems representing common designs using FPGA technologies of interest. Their characterization is done only once; the results are then used during simulation of actual systems being explored by the designer. Our approach allows a rich set of FPGA architectures to be explored accurately at various abstraction levels to seek optimized solutions with minimal effort by the designer. To offer an industrial example of our results, we describe the characterization process for Xilinx CoreConnect-based platforms and the integration of this data into the METROPOLIS modeling environment.


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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T. M. P. Team. The Metropolis Meta Model Version 0.4. Technical Report UCB/ERL M04/38, University of California, Berkeley, September 2004.
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Collaborative Colleagues:
Douglas Densmore: colleagues
Adam Donlin: colleagues
Alberto Sangiovanni-Vincentelli: colleagues