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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2014 - 11

 HIGH-IMPACT PAPER 

Hamming Weight Counters and Comparators based on Embedded DSP Blocks for Implementation in FPGA

SKLYAROV, V. See more information about SKLYAROV, V. on SCOPUS See more information about SKLYAROV, V. on IEEExplore See more information about SKLYAROV, V. on Web of Science, SKLIAROVA, I. See more information about SKLIAROVA, I. on SCOPUS See more information about SKLIAROVA, I. on SCOPUS See more information about SKLIAROVA, I. on Web of Science
 
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Download PDF pdficon (1,071 KB) | Citation | Downloads: 2,106 | Views: 2,252

Author keywords
hamming weight counter, hamming weight comparator, field-programmable gate array, digital signal processing slice, hardware accelerator, on-chip architecture

References keywords
link(10), hamming(6), circuits(6), systems(5), skliarova(5), sklyarov(4), parallel(4), fpga(4), digital(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 63 - 68
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02011
Web of Science Accession Number: 000340868100011
SCOPUS ID: 84901843912

Abstract
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Full text preview
This paper is dedicated to the design, implementation and evaluation of fast FPGA-based circuits that compute Hamming weights for binary vectors and compare the results with fixed thresholds and variable bounds. It is shown that digital signal processing (DSP) slices that are widely available in contemporary FPGAs may be used efficiently and they frequently provide the fastest and least resource consuming solutions. A thorough analysis and comparison of these with the best known alternatives both in hardware and in software is presented. The results are supported by numerous experiments in recent prototyping boards. A fully synthesizable hardware description language (VHDL) specification for one of the proposed core components is given that is ready to be synthesized, implemented, tested and compared in any FPGA that contains embedded DSP48E1 slices (or alternatively DSP48A1 slices from previous generations). Finally, the results of comparisons are provided that include discussions of designs in an ARM processor combined with reconfigurable logic for very long vectors.


References | Cited By  «-- Click to see who has cited this paper

[1] B. Parhami, "Efficient Hamming weight comparators for binary vectors based on accumulative and up/down parallel counters," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 56, no. 2, 2009, pp. 167-171.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 44]


[2] V. Pedroni, "Compact Hamming-comparator-based rank order filter for digital VLSI and FPGA implementations," in Proc. IEEE Int. Symp. on Circuits and Systems, vol. 2, Canada, 2004, pp. 585-588.
[CrossRef]


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[5] M. Storace and T. Poggi, "Digital architectures realizing piecewise-linear multivariate functions: two FPGA implementations," Int. Journal of Circuit Theory and Applications, vol. 39, no. 1, 2011, pp. 1-15.
[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 48]


[6] K. Asada, S. Kumatsu, and M. Ikeda, "Associative memory with minimum Hamming distance detector and its application to bus data encoding," in Proc. IEEE Asia-Pacific Application-Specific Integrated Circuits Conf., Korea, 1999, pp. 16-18.

[7] C. Barral, J. S. Coron, and D. Naccache, "Externalized fingerprint matching," in Proc. Int. Conf. on Biometric Authentication, Hong Kong, 2004, pp. 309-315.
[CrossRef]


[8] A. Zakrevskij, Y. Pottosin, and L. Cheremisiniva, Combinatorial Algorithms of Discrete Mathematics, TUT Press, 2008.

[9] I. Skliarova and A. B. Ferrari, "A Software/reconfigurable hardware SAT solver," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 12, no. 4, 2004, pp. 408-419.
[CrossRef] [Web of Science Times Cited 38] [SCOPUS Times Cited 46]


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[12] J. D. Davis, Z. Tan, F. Yu, and L. Zhang, "A practical reconfigurable hardware accelerator for Boolean satisfiability solvers," in Proc. 45th ACM/IEEE Design Automation Conf., USA, 2008, pp. 780-785.
[CrossRef]


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[15] ARM, Ltd., NEON™ Version: 1.0 Programmer's Guide, 2013. [Online] Available: Temporary on-line reference link removed - see the PDF document

[16] Dalke Scientific Software, LLC, Faster population counts, 2011. [Online] Available: Temporary on-line reference link removed - see the PDF document

[17] R. Ramanarayanan, S. Mathew, V. Erraguntla, R. Krishnamurthy, and S. Gueron, "A 2.1GHz 6.5mW 64-bit Unified PopCount/BitScan Datapath Unit for 65nm," in Proc. 21st Int. Conf. on VLSI Design, India, 2008.

[18] L. Field, T. Barnie, J. Blundy, R.A. Brooker, D. Keir, E. Lewi, and K. Saunders, "Integrated field, satellite and petrological observations of the November 2010 eruption of Erta Ale," Bulletin of Volcanology, vol. 74, no. 10, 2012, pp. 2251-2271.

[19] V. Sklyarov and I. Skliarova, "Fast Regular Circuits for Network-based Parallel Data Processing," Advances in Electrical and Computer Engineering, vol. 13, no. 4, 2013, pp. 47-50.
[CrossRef] [Full Text] [Web of Science Times Cited 13] [SCOPUS Times Cited 13]


[20] Digilent, Inc., Nexys4™ FPGA board reference manual, 2013. [Online] Available: Temporary on-line reference link removed - see the PDF document

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[23] V. Sklyarov and I. Skliarova, Parallel Processing in FPGA-based Digital Circuits and Systems, TUT Press, 2013.

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[25] V. A. Pedroni, "Compact fixed-threshold and two-vector Hamming comparators," Electronic Letters, vol. 39, no. 24, 2003, pp. 1705-1706.

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[29] M. Sadri, C. Weis, N. Wehn, and L. Benini, "Energy and Performance Exploration of Accelerator Coherency Port Using Xilinx ZYNQ," in Proc. 10th FPGAworld Conf., Copenhagen and Stockholm, 2013.

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References Weight

Web of Science® Citations for all references: 539 TCR
SCOPUS® Citations for all references: 750 TCR

Web of Science® Average Citations per reference: 16 ACR
SCOPUS® Average Citations per reference: 23 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-25 16:08 in 84 seconds.




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