Design and Implementation of Reconfigurable Approximation Technique for Arithmetic Unit
Keywords:
Approximate circuits, approximate computing, low power design, quality configurable.Abstract
The research community in the last few years from the field of approximate computing has received significant attention, particularly in the context of different signal processing. Image and video compression algorithms such as JPEG, MPEG and so on, which can be exploited to realize highly power efficient implementations of these algorithms. However, existing approximate architectures typically fix the level of hardware approximations statically and are not adaptive to input data. This project addresses this issue by proposing a reconfigurable approximate for MPEG encoders that optimizes power consumption with the aim of maintaining a particular peak signal-to noise ratio threshold for any video. We propose two heuristics for automatically tuning the approximation degree of the RABs in these two modules during runtime based on the Characteristics of each individual video. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.3.
References
- M. Elgamel, A. M. Shams, and M. A. Bayoumi, "A comparative analysis for low power motion estimation VLSI architectures," in Proc. IEEE Workshop Signal Process. Syst. (SiPS), Oct. 2000, pp. 149–158.
- F. Dufaux and F. Moscheni, "Motion estimation techniques for digital TV: A review and a new contribution," Proc. IEEE, vol. 83, no. 6, pp. 858–876, Jun. 1995.
- I. S. Chong and A. Ortega, "Dynamic voltage scaling algorithms for power constrained motion estimation," in Proc. IEEE Int. Conf. Acoust.,Speech, Signal Process. (ICASSP), vol. 2. Apr. 2007, pp. II-101–II-104.
- I. S. Chong and A. Ortega, "Power efficient motion estimation using multiple imprecise metric computations," in Proc. IEEE Int. Conf.Multimedia Expo, Jul. 2007, pp. 2046–2049.
- D. Mohapatra, G. Karakonstantis, and K. Roy, "Significance driven computation: A voltage-scalable, variation-aware, quality-tuning motion estimator," in Proc. 14th ACM/IEEE Int. Symp. Low Power Electron.Design (ISLPED), 2009, pp. 195–200.
- J. George, B. Marr, B. E. S. Akgul, and K. V. Palem, "Probabilistic arithmetic and energy efficient embedded signal processing," in Proc.Int. Conf. Compil., Archit., Synth. Embedded Syst. (CASES), 2006, pp. 158–168.
- D. Shin and S. K. Gupta, "A re-design technique for datapath modules in error tolerant applications," in Proc. 17th Asian Test Symp. (ATS), 2008, pp. 431–437.
- S. Venkataramani, A. Sabne, V. Kozhikkottu, K. Roy, and A. Raghunathan, "SALSA: Systematic logic synthesis of approximate circuits," in Proc. 49th Annu. Design Autom. Conf. (DAC), Jun. 2012, pp. 796–801.
- V. Gupta, D. Mohapatra, S. P. Park, A. Raghunathan, and K. Roy, "IMPACT: IMPrecise adders for low-power approximate computing," in Proc. 17th IEEE/ACM Int. Symp. Low-Power Electron.Design (ISLPED), Aug. 2011, pp. 409–414.
- V. Gupta, D. Mohapatra, A. Raghunathan, and K. Roy, "Lowpowerdigital signal processing using approximate adders," IEEETrans. Comput.-Aided Design Integr. Circuits Syst., vol. 32, no. 1, pp. 124–137, Jan. 2013.
- V. G. Moshnyaga, K. Inoue, and M. Fukagawa, "Reducing energy consumption of video memory by bit-width compression," in Proc. Int.Symp. Low Power Electron. Design (ISLPED), 2002, pp. 142–147.
- Z. He and M. L. Liou, "Reducing hardware complexity of motion estimation algorithms using truncated pixels," in Proc. IEEE Int. Symp.Circuits Syst. (ISCAS), vol. 4. Jun. 1997, pp. 2809–2812.
- Z.-L. He, C.-Y. Tsui, K.-K. Chan, and M. L. Liou, "Low-power VLSI design for motion estimation using adaptive pixel truncation," IEEETrans. Circuits Syst. Video Technol., vol. 10, no. 5, pp. 669–678, Aug. 2000.
- A. Raha, H. Jayakumar, and V. Raghunathan, "A power efficient video encoder using reconfigurable approximate arithmetic units," in Proc.27th Int. Conf. VLSI Design, 13th Int. Conf. Embedded Syst., Jan. 2014, pp. 324–329.
- P. M. Kuhn, Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation, 1st ed. Norwell, MA, USA: Kluwer,1999.
- K. Seshadrinathan, R. Soundararajan, A. C. Bovik, and L. K. Cormack, "Study of subjective and objective quality assessment of video," IEEETrans. Image Process., vol. 19, no. 6, pp. 1427–1441, Jun. 2010.
- S. Winkler, "Video quality measurement standards—Current status and trends," in Proc. 7th Int. Conf. Inf., Commun., Signal Process. (ICICS), Dec. 2009, pp. 1–5.
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