The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Approximate Multipliers Based on New Approximate Compressors
Open accessAbstract
Approximate computing is an emerging trend in digital design that trades off the requirement of exact computation for improved speed and power performance. This paper proposes novel approximate compressors and an algorithm to exploit them for the design of efficient approximate multipliers. By using the proposed approach, we have synthesized approximate multipliers for several operand lengths using a 40-nm library. Comparison with previously presented approximated multipliers shows that the proposed circuits provide better power or speed for a target precision. Applications to image filtering and to adaptive least mean squares filtering are also presented in the paper.
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Cites
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
1.1 Computing's energy problem (and what we can do about it)
Horowitz, M. (2014) · 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC) · doi:10.1109/isscc.2014.6757323 · Cited by 2,069
A Suggestion for a Fast Multiplier
Wallace, C. S. (1964) · IEEE Transactions on Electronic Computers · doi:10.1109/pgec.1964.263830 · Cited by 1,808
Computer Arithmetic: Algorithms and Hardware Designs
Parhami, B. (1999) · Cited by 1,146
Approximate computing: An emerging paradigm for energy-efficient design
Han, J., & Orshansky, M. (2013) · 2013 18TH IEEE EUROPEAN TEST SYMPOSIUM (ETS) · doi:10.1109/ets.2013.6569370 · Cited by 1,098
An Introduction to Combinatorial Analysis
Schmetterer, L., & Riordan, J. (1959) · Revue de l'Institut International de Statistique / Review of the International Statistical Institute · doi:10.2307/1402058 · Cited by 1,012
Analysis and characterization of inherent application resilience for approximate computing
Chippa, V. K., Chakradhar, S. T., Roy, K., & Raghunathan, A. (2013) · Proceedings of the 50th Annual Design Automation Conference · doi:10.1145/2463209.2488873 · Cited by 546
An Introduction to Combinatorial Analysis
Riordan, J., & Teichmann, T. (1959) · Physics Today · doi:10.1063/1.3060724 · Cited by 495
Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers
Akbari, O., Kamal, M., Afzali-Kusha, A., & Pedram, M. (2017) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2016.2643003 · Cited by 312
Design and Analysis of Multiplier Using Approximate 15-4 Compressor
Marimuthu, R., Rezinold, Y. E., & Mallick, P. S. (2016) · IEEE Access · doi:10.1109/access.2016.2636128 · Cited by 96
Metadata
- Authors
- Esposito, D., Strollo, A. G. M., Napoli, E., De Caro, D., & Petra, N.
- Venue
- IEEE Transactions on Circuits and Systems I: Regular Papers
- Published
- 2018-12
- Volume
- 65
- Issue
- 12
- Pages
- 4169-4182
- ISSN
- 1549-8328 (ISSN-L)
- 1558-0806
- OpenAlex
- W2808327285
- Cited by
- 308
- References
- 10
- FWCI
- 7.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Esposito, D., Strollo, A. G. M., Napoli, E., De Caro, D., & Petra, N. (2018). Approximate Multipliers Based on New Approximate Compressors. IEEE Transactions on Circuits and Systems I: Regular Papers. https://doi.org/10.1109/tcsi.2018.2839266
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