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A coarse-grained FPGA architecture for high-performance FIR filtering
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Source International Symposium on Field Programmable Gate Arrays archive
Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field programmable gate arrays table of contents
Monterey, California, United States
Pages: 234 - 244  
Year of Publication: 1998
ISBN:0-89791-978-5
Authors
James R. Anderson  Intel Corporation, 2200 Mission College Blvd., Santa Clara, CA
Siddharth Sheth  Intel Corporation, 2200 Mission College Blvd., Santa Clara, CA
Kaushik Roy  School of Electrical Engineering, Purdue University, West Lafayette, IN
Sponsor
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 19,   Citation Count: 3
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ABSTRACT

This paper introduces a coarse-grained FPGA architecture that is specialized for high-performance Finite Impulse Response (FIR) filtering. The proposed architecture provides the flexibility of a DSP processor with performance and area efficiency similar to that of a custom ASIC design, while allowing all of the basic FIR design parameters, including coefficient precision, to be configured. Previous research has already shown that FPGAs can provide a high-performance alternative to DSP processors. Experimental comparisons in this paper show that the performance and area efficiency of the proposed architecture is similar to that of custom approaches across a wide range of filter sizes and configurations.


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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Abnous, A. and Rabaey, J. Ultra-low-power domainspecific multimedia processors, in VLSI Signal Processing IX, IEEE Press, November 1996, 459-468.
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Bergmann, N. W. and Mudge, J. C. Comparing the performance of FPGA-based custom computers with general-purpose computers for DSP applications, in Proceedings of IEEE Workshop on FPGAs for Custom Computing Machines, Napa, CA, April 1994, 164-17 I.
 
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Oppenheim, A. V. and Schafer, tL W. Digital signal processing. Prentice-Hall, Englewood Cliffs, N.J., 1975.
 
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Collaborative Colleagues:
James R. Anderson: colleagues
Siddharth Sheth: colleagues
Kaushik Roy: colleagues