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High-performance, cost-effective heterogeneous 3D FPGA architectures
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Great Lakes Symposium on VLSI archive
Proceedings of the 19th ACM Great Lakes symposium on VLSI table of contents
Boston Area, MA, USA
SESSION: Emerging technology and post-CMOS table of contents
Pages 251-256  
Year of Publication: 2009
ISBN:978-1-60558-522-2
Authors
Roto Le  Brown University, Providence, RI, USA
Sherief Reda  Brown University, Providence, RI, USA
R. Iris Bahar  Brown University, Providence, RI, USA
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

In this paper, we propose novel architectural and design techniques for three-dimensional field-programmable gate arrays (3D FPGAs) with Through-Silicon Vias (TSVs). We develop a novel design partitioning methodology that maps the heterogeneous computational resources of an FPGA into a number of die such that the total die area is minimized and the FPGA performance is maximized. Minimizing the total die area leads to direct manufacturing cost savings which is an important incentive to bring 3D technology to the fab and onto the market. An estimation framework is developed to assess the impact of silicon area utilized by 3D interconnect resources while taking into account the large area occupied by TSVs which is crucial to total die area of 3D FPGAs. In order to improve area and performance of 3D FPGAs, we design a novel 3D switch box with bypass TSVs. We also analyze the impact of different partitioning strategies on die area and find the optimal number of die that gives the largest reductions in total die area while maximizing the performance. Using a well-developed simulation infrastructure, we show that our methodologies can achieve an average reduction of 27.7% in total die area with a reduced interconnect path delay of about 58%.


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:
Roto Le: colleagues
Sherief Reda: colleagues
R. Iris Bahar: colleagues