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Architecture evaluation for power-efficient FPGAs
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Source International Symposium on Field Programmable Gate Arrays archive
Proceedings of the 2003 ACM/SIGDA eleventh international symposium on Field programmable gate arrays table of contents
Monterey, California, USA
SESSION: Architecture analysis and automation table of contents
Pages: 175 - 184  
Year of Publication: 2003
ISBN:1-58113-651-X
Authors
Fei Li  University of California, Los Angeles, CA
Deming Chen  University of California, Los Angeles, CA
Lei He  University of California, Los Angeles, CA
Jason Cong  University of California, Los Angeles, CA
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 21,   Downloads (12 Months): 137,   Citation Count: 38
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ABSTRACT

This paper presents a flexible FPGA architecture evaluation framework, named fpgaEVA-LP, for power efficiency analysis of LUT-based FPGA architectures. Our work has several contributions: (i) We develop a mixed-level FPGA power model that combines switch-level models for interconnects and macromodels for LUTs; (ii) We develop a tool that automatically generates a back-annotated gate-level netlist with post-layout extracted capacitances and delays; (iii) We develop a cycle-accurate power simulator based on our power model. It carries out gate-level simulation under real delay model and is able to capture glitch power; (iv) Using the framework fpgaEVA-LP, we study the power efficiency of FPGAs, in 0.10um technology, under various settings of architecture parameters such as LUT sizes, cluster sizes and wire segmentation schemes and reach several important conclusions. We also present the detailed power consumption distribution among different FPGA components and shed light on the potential opportunities of power optimization for future FPGA designs (e.g., ≤: 0.10um technology).


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
 
2
Altera, Stratix Programmable Logic Device Family Data Sheet, Aug. 2002.
 
3
Altera, APEX II Programmable Logic Device Family Data Sheet, Aug. 2002.
 
4
V. Betz and J. Rose, "Cluster-Based Logic Blocks for FPGAs: Area-Efficiency vs. Input Sharing and Size," IEEE Custom Integrated Circuits Conference, Santa Clara, CA, 1997.
5
 
6
 
7
T.-L. Chou and K. Roy, "Estimation of Activity for Static and Domino CMOS Circuits Considering Signal Correlations and Simultaneous Switching," IEEE Transactions on Computer-Aided Design of Integrated Circuits, October 1996.
 
8
J. Cong and Y. Ding, "FlowMap: An Optimal Technology Mapping Algorithm for Delay Optimization in Lookup-Table Based FPGA Designs," IEEE Trans. on Computer-Aided Design, vol. 13, no. 1, pp. 1--12, January 1994.
9
 
10
International Technology Roadmap for Semiconductors, 2001 Edition, http://public.itrs.net/Files/2001ITRS/Home.htm.
11
 
12
Lattice Semiconductor Corp., ORCA Series 4 FPGAs Data Sheet, Apr. 2002.
 
13
"Predictive Technology Model", http://wwwdevice.eecs.berkeley.edu/~ptm/mosfet.html, 2002.
 
14
 
15
E. M. Sentovich et. al. "SIS: A System for Sequential Circuit Synthesis," Dept. of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720, 1992.
16
17
18
 
19
Xilinx, Virtex-II 1.5V Platform FPGA Complete Data Sheet, July 2002.

CITED BY  38

Collaborative Colleagues:
Fei Li: colleagues
Deming Chen: colleagues
Lei He: colleagues
Jason Cong: colleagues