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Configuration System Based on Internal FPGA Decompression

A new configuration architecture

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Electronics System Design Techniques for Safety Critical Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 26))

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Nowadays Field Programmable Gate Arrays (FPGAs) are an improved technology for developing high-performance embedded systems. SRAM-based FPGAs offers the possibility of in-the-field reconfiguration that results in the ability to adapt the product to modified user’s requirements, to enrich the product’s features, or simply to correct bugs. With the advent of multimillion gate FPGAs, the size of the configuration information that defines what circuit the FPGA implements has increased drastically, and thus the amount of external memory needed to keep the configuration data is increasing dramatically. The work presented in this chapter describe a novel configuration compression system that exploits internal configuration mechanism of modern SRAM-based FPGAs and results in high compression efficiency. The proposed system is applicable to any modern SRAM-based FPGA devices having an embedded microprocessor core since the configuration data are processed as raw data. Moreover, the proposed approach does not require any external hardware support and allows high speed dynamic reconfiguration. Experimental results on Xilinx SRAM-based FPGAs platform implementing several real-world circuits demonstrated 82% savings in memory on the average.

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References

  1. K. Compton, S. Hauck, Reconfigurable Computing: A Survey of Systems and Software, ACM Computing Surveys, Vol. 34, No. 2, June 2002, pp. 171–210.

    Article  Google Scholar 

  2. Xilinx Product Specification, Virtex-II Platform FPGAs: Complete Data Sheet, DS031 (v3.4) March 1, 2005.

    Google Scholar 

  3. A. Khu, Xilinx FPGA Configuration Data Compression and Decompression, Xilinx — WP152, September 2001.

    Google Scholar 

  4. Z. Li, S. Hauck, Configuration Compression for Virtex FPGAs, IEEE Symposium on Field-Programmable Custom Computing Machines, 2001, pp. 111–119.

    Google Scholar 

  5. S. Hauck, Z. Li, E. J. Schwabe, Configuration Compression for the Xilinx XC6200 FPGA, IEEE Transactions on Computer Aided Design Integrated Circuits Systems, Vol. 18, No. 8, Aug. 1999, pp. 1107–1113.

    Article  Google Scholar 

  6. J. Pan, T. Mitra, W. Wong, Configuration Bitstream Compression for Dynamically Reconfigurable FPGAs, IEEE/ACM International Conference on Computer Aided Design, Nov. 2004, pp. 766–773.

    Google Scholar 

  7. A. Dandalis, V. K. Prasanna, Configuration Compression for FPGA-Based Embedded Systems, IEEE Transactions on VLSI systems, Vol. 13, No. 12, Dec. 2005.

    Google Scholar 

  8. M. Hübner, M. Ullmann, F. Weissei, J. Becker, Real-Time Configuration Code Decompression for Dynamic FPGA Self-Reconfiguration, 18th IEEE International Parallel and Distributed Processing Symposium, Apr. 2004, pp. 138.

    Google Scholar 

  9. M. Ullmann, M. Hübner, B. Grimm, J. Becker, An FPGA Run-Time System for Dynamical On-Demand Reconfiguration, 18th IEEE International Parallel and Distributed Processing Symposium, Apr. 2004, pp. 135.

    Google Scholar 

  10. A. Le, Simplifying the FPGA Configuration Design Process, Xilinx White Paper: Platform Flash PROMs, WP253, v1.0.1, Aug. 2006.

    Google Scholar 

  11. Altera sheets, Using Altera Enhanced Configuration Devices, Chapter 14, Apr. 2003.

    Google Scholar 

  12. Atmel FPGA, http://www.atmel.com

  13. Xilinx FPGA, http://www.xilinx.com

  14. V. Eck, P. Kalra, R. LeBlanc, J. McManus, In-Circuit Partial Reconfiguration of Rocket-IO Attributes, Xilinx Application Notes, XAPP662, May 26, 2004.

    Google Scholar 

  15. A. Moffat, R. M. Neal, I. H. Witten, Arithmetic Coding Revisited, ACM Transactions on Information Systems, Vol. 16, No. 3, July 1998, 256–294.

    Article  Google Scholar 

  16. Xilinx Product Specification, Virtex-II Pro and Virtex-II Pro X Platform FPGAs: Complete Data Sheet, DS083 v4.5, Oct. 10, 2005.

    Google Scholar 

  17. Xilinx Reference Guide, PowerPC Processor, EDK 6.1, Sept. 2, 2003.

    Google Scholar 

Download references

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(2008). Configuration System Based on Internal FPGA Decompression. In: Electronics System Design Techniques for Safety Critical Applications. Lecture Notes in Electrical Engineering, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8979-4_6

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  • DOI: https://doi.org/10.1007/978-1-4020-8979-4_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8978-7

  • Online ISBN: 978-1-4020-8979-4

  • eBook Packages: EngineeringEngineering (R0)

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