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A new decompression system for the configuration process of SRAM-based FPGAS
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Source Great Lakes Symposium on VLSI archive
Proceedings of the 17th ACM Great Lakes symposium on VLSI table of contents
Stresa-Lago Maggiore, Italy
SESSION: Circuits and logic table of contents
Pages: 241 - 246  
Year of Publication: 2007
ISBN:978-1-59593-605-9
Authors
Luca Sterpone  Politecnico di Torino, Torino, Italy
Massimo Violante  Politecnico di Torino, Torino, Italy
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

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 multi-million 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. In this work we developed 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.


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:
Luca Sterpone: colleagues
Massimo Violante: colleagues