Efficient Computing System for Satellite Image Processing Processor

Azhagu Azhagu Jaisudhan Pazhani

Abstract


Approximate computing plays a significant role in signal processing and image processing applications. Radix-8 approximate novel booth multiplier (R8ANBM) based on approximate novel booth encoder (ANBE) is proposed in this paper to validate approximate computing. The proposed design is synthesized and simulated in Xilinx ISE 13.2. The experimental results show that the proposed multiplier performs better in terms area, speed and energy consumption. The proposed R8ANBE reduced the number of 4 input LUTs by 23.07%, 17.94%, 19.87%, 16.66%, 13.46%, 8.33%, 12.82%, 9.61%, 12.17% and number of occupied slices by 22.33%, 30.09%, 25.24%, 29.12%, 14.56%, 17.47%, 13.59%, 12.62%, 17.47% when compared with the existing techniques such as conventional booth multiplier, R4ABM1, RAD64, ABM1, HLR-BM1, HLR-BM2, R8ABM1, R8ABM2, R8ABM3 respectively. It achieved the accuracy as 67.3% which is higher than exisitng approximate booth multipliers. The proposed R8ANBM is applied to image sharpening applications and the performances are analyzed in terms of error metrics such as ralative mean error distance, normalized mean error distance and peak signal to noise ratio. The above proposed system was implemented using 45nanometer technology library. With applications in low-power CMOS design, quantum computing, optical information processing, DNA computing, bioinformatics, and nanotechnology, there is an increasing interest in power minimization.

Full Text:

PDF

References


References

B. Liu, Z. Wang, S. Guo, H. Yu, Y. Gong, J. Yang, L. Shi, ‘An energy efficient voice activity detector using deep neural networks and approximate computing’, in Microelectronics Journal, vol. 87, pp. 12-21, May 2019.

S. Xu, and B. C. Schafer, ‘Toward Self-Tunable Approximate Computing’, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2019, vol. 27, no. 4, pp. 778-789.

Haroon Waris, Chenghua Wang, and Weiqiang Liu, ‘Hybrid Low Radix Encoding based Approximate Booth Multipliers’, 2020, vol. 67, no. 12, pp. 3367-3371.

V. Mrazek, M. A. Hanif, Z. Vasicek, L. Sekanina, and M.Shaffique, ‘autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components’, in Proceedings of the 56th Annual Design Automation Conference (DAC), Las Vegas, 2019, pp. 1-6.

Soheil Hashemi, Hokchhay Tann, Francesco Buttafuoco, Sherief Reda, ‘Approximate Computing for Biometric Security Systems: A Case Study on Iris Scanning’, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018.

Paladugu Srinivas Teja, ‘Design of Radix-8 Booth Multiplier Using Koggestone Adder for High Speed Arithmetic Applications’, Emerging Trends in Electrical, Electronics & Instrumentation Engineering: An international Journal (EEIEJ), 2014, vol. 1, no. 1, pp. 45-55.

Nimmy Joseph, David Solomon George and K. Sajitha, ‘Power efficient approximate multiplier with reduced complexity using encoded partial products’, AIP Conference Proceedings, 2020, pp. 020007(1-6).

Honglan Jiang, Jie Han, Fei Qiao, and Fabrizio Lombardi, ‘Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation’, IEEE Transactions on Computers, 2016, vol. 65, no. 8, pp. 2638 – 2644.

V Soma Sandeep, K Bala Sindhuri, N Udaya Kumar and K Rajesh, ‘Design of Area and Power Potent Booth Multiplier Using Multiplexer’, Proceedings of the International Conference on Communication and Electronics Systems (ICCES 2018), 2018, pp. 1-6.

V. Leon, G. Zervakis, D. Soudris and K. Pekmestzi, ‘Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers’, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018, vol. 26, no. 3, pp. 421-430.

Anil Kumar Reddy Y and Sathish Kumar P, ‘Performance Analysis of 8-Point FFT using Approximate Radix-8 Booth Multiplier’, Proceedings of the International Conference on Communication and Electronics Systems (ICCES 2018), 2018, pp. 42-45.

S. Venkatachalam, E. Adams, H. J. Lee and S. Ko, ‘Design and Analysis of Area and Power Efficient Approximate Booth Multipliers’, IEEE Transactions on Computers, 2019, vol. 68, no. 11, pp. 1697-1703.

Alberto A. Del Barrio , Román Hermida, and Seda Ogrenci-Memik , ‘A Combined Arithmetic-High-Level Synthesis Solution to Deploy Partial Carry-Save Radix-8 Booth Multipliers in Datapaths’, IEEE Transactions On Circuits And Systems–I: Regular Papers, 2019, vol. 66, no. 2, pp. 742-755.

Bayadir A. Issa, Israa Sabri A. AL-Forati, Mohammed A. Al-Ibadi, Hayder M. Amer, Abdulmuttalib Turky Rashid and Osama T. Rashid, ‘Design of High Precision Radix-8 MAF Unit with Reduced Latency’, International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2020, pp. 1-7.

H. Jiang, C. Liu, L. Liu, F. Lombardi, and J. Han, ‘A review, classification, and comparative evaluation of approximate arithmetic circuits’, ACM Journal on Emerging Technologies in Computing Systems (JETC), 2017, vol. 13, no. 4, pp. 1-34.

V. Leon and K. Asimakopoulos and S. Xydis and D. Soudris and K. Pekmestzi, ‘Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers’, in Proceedings of 56th ACM/IEEE Design Automation Conference (DAC), 2019, pp. 1-6.

Wang J, S. Kuang, and S. Liang, ‘High-Accuracy Fixed-Width Modified Booth Multipliers for Lossy Applications’, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2011, vol. 19, no. 1, pp. 52-60.

Y. Chen, and T. Chang, ‘A High-Accuracy Adaptive Conditional- Probability Estimator for Fixed-Width Booth Multipliers,” IEEE Transactions on Circuits and Systems I (TCAS-I): Regular Papers, vol. 59, no. 3, pp. 594-603.

S. Choi, G. Kim, H. Yoo, and B. Nam, ‘Hybrid radix-4/-8 truncated multiplier for mobile GPU applications’, Electronics Letters, 2014, vol. 50, no. 23, pp. 1680-1682.

W. Liu, L. Qian, C. Wang, H. Jiang, J. Han, and F. Lombardi, ‘Design of approximate radix-4 Booth multipliers for error-tolerant computing’, IEEE Transactions on Computers, 2017, vol. 66, no. 8, pp. 1435-1441.

V. Leon, G. Zervakis, D. Soudris, and K. Pekmestzi, ‘Approximate Hybrid High Radix Encoding for Energy-Efficient Inexact Multipliers’, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018, vol. 26, no. 3, pp. 421-430.

S. Venkatachalam, E. Adams, H. J. Lee and S. Ko, ‘Design and Analysis of Area and Power Efficient Approximate Booth Multipliers’, IEEE Transactions on Computers, 2019, vol. 68, no. 11, pp. 1697-1703.

Bipul Boro, K. Manikantta Reddy, Y.B. Nithin Kumar, M.H. Vasantha, ‘Approximate radix-8 Booth multiplier for low power and high speed applications’, Microelectronics Journal, 2020, vol. 101, pp. 1-14.

J. Liang, J. Han and F. Lombardi, ‘New Metrics for the Reliability of Approximate and Probabilistic Adders’, IEEE Transactions on Computers, 2013, vol. 62, no. 9, pp. 1760-1771.




DOI: https://doi.org/10.31449/inf.v49i15.5989

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.