Optimizing Switching Activity using LFSR-Driven Logic for VLSI Circuits

Authors

  • Α. Swetha Priya Department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru, Amrita Viswa Vidyapeetham, India
  • S. Kamatchi Department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru, Amrita Viswa Vidyapeetham, India https://orcid.org/0000-0002-6815-2233
  • E. Lakshmi Prasad DFT Manager, Tessolve Semiconductors Private Limited, India https://orcid.org/0000-0001-8726-0099
Volume: 14 | Issue: 6 | Pages: 18799-18804 | December 2024 | https://doi.org/10.48084/etasr.9126

Abstract

In Very-Large-Scale-Integration (VLSI) designs, thorough testing is indispensable for identifying the structural defects of the chip. Timely detection and correcting serious defects are pivotal in preventing faulty chips from reaching customers and avoiding failures. In scan designs, the toggling activity is a critical factor due to the defects between lower cells and metal layers, exacerbated by diverse Process, Voltage, and Temperature (PVT) conditions. These defects significantly impact design testability, quality, and reliability, necessitating meticulous testing to ensure that chips meet the desired specifications. Effectively managing power consumption in the current VLSI landscape is crucial amid the ongoing energy crisis. Balancing the need for Low-Power (LP) with the complexity of integrating transistors onto a single silicon substrate poses significant challenges. As chip densities increase, power dissipation during testing surges, adversely affecting durability, performance, cost, and reliability. Engineers are racing to optimize test power usage, employing advanced Design for Test (DFT) techniques to incorporate efficient power management into Silicon-on-Chip (SoC) designs. Linear Feedback Shift Registers (LFSRs) are phenomenal in addressing DFT parameters like power, and performance, and for better pseudo-random pattern generation. Hence, this paper proposes a groundbreaking approach to power reduction techniques deploying the LFSR architecture, and thus challenging conventional scan-based testing methods. The proposed LFSR architecture is meticulously designed and rigorously tested using Cadence DFT Modus solution on ISCAS’89 benchmarking circuits. Coverage was unequivocally evaluated for Quality of Results (QoR) metrics, such as fault coverage, memory usage, pattern counts, switching activity, fault testing, and runtime. The specific evaluation clearly proved the superiority of the LFSR-based approach over the scan-based architecture. Adopting the novel LFSR architecture resulted in a ~5.6X reduction in toggling activity accompanied by a substantial ~10K pattern reduction and a runtime of nearly ~1.5 hours. Notably, the test power was reduced to 50% showcasing superior efficiency. This approach emerges as the ideal solution for industrial designs providing the best QoR for power, performance, and area. This innovative methodology marks a significant leap toward an energy-efficient and cost-effective VLSI circuit especially for stacked 2.5-3D ICs and chiplets poised to revolutionize chip manufacturing.

Keywords:

low-power, chip, LFSR, test power, DFT, 3D, IC

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References

K. B. Reddy, A. S. Priya, E. L. Prasad, and S. Kamatchi, "Reduction of Toggling Activity Using Novel LFSR Driven Logic for ULSI Circuits," in 2023 International Conference on Next Generation Electronics (NEleX), Sep. 2023, pp. 1–5.

A. S. Priya, K. S, and E. L. Prasad, "Early Register Transfer Level (RTL) power estimation in real-time System-on-Chips (SoCs)," Journal of Integrated Science and Technology, vol. 11, no. 1, pp. 454–454, 2023.

A. Swetha Priya, S. Kamatchi, and E. Lakshmi Prasad, "Estimation of SoC Testability at Early RTL Stage," in Intelligent Manufacturing and Energy Sustainability, Singapore, 2023, pp. 339–367.

A. S. Priya and K. S, "Power Optimization of VLSI Scan under Test using X-Filling Technique," in 2021 Emerging Trends in Industry 4.0 (ETI 4.0), Feb. 2021, pp. 1–9.

A. S. Priya, "Defect-aware methodology for low-power scan-based VLSI testing," 2015 Conference on Power, Control, Communication and Computational Technologies for Sustainable Growth (PCCCTSG), pp. 234–238, Dec. 2015.

S. V, S. Raghav, and A. J. P, "Efficient don’t-care filling method to achieve reduction in test power," in 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Dec. 2015, pp. 478–482.

B. L. Dokic, "A Review on Energy Efficient CMOS Digital Logic," Engineering, Technology & Applied Science Research, vol. 3, no. 6, pp. 552–561, Dec. 2013.

M. D. Savio. M et al., "VLSI Architectures for Security Analysis with Dual-Key LFSR Using Barrel Shifter and S-Box," in 2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), Apr. 2023, pp. 1–5.

N. Mathan, L. Magthelin, M. Malathi, G. I. Shamini, M. A. Muthiah, and T. Ravi, "Analysis of an Efficient Fault Tolerant Linear Feedback Shift Register for Low Power Applications," in 2024 10th International Conference on Communication and Signal Processing (ICCSP), Apr. 2024, pp. 937–942.

S. Ahmadunnisa and S. E. Mathe, "Multi-LFSR Architectures for BRLWE-Based Post Quantum Cryptography," IEEE Access, vol. 12, pp. 96258–96272, 2024.

S. Hussain, A. K. Chaudhary, and S. Verma, "Design of Secured Lightweight PRNG Circuit using LFSR for Portable IoT Devices," in 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Dec. 2022, pp. 1588–1592.

I. Pomeranz, "Positive and Negative Extra Clocking of LFSR Seeds for Reduced Numbers of Stored Tests," in 2021 IEEE 30th Asian Test Symposium (ATS), Aug. 2021, pp. 109–114.

M. Saikia and B. P. Shrivastava, "Adaptive Reconfigurable LFSR: Dynamic Tapping and Reseeding for Enhanced Pseudo Random Number Generation," in 2024 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), Oct. 2024, pp. 1–6.

J.-C. Ying, W.-D. Tseng, and W.-J. Tsai, "Bipolar Dual-LFSR Reseeding for Low-Power Testing," in 2018 IEEE Conference on Dependable and Secure Computing (DSC), Sep. 2018, pp. 1–7.

R. Trivedi, S. Dhariwal, and A. Kumar, "Comparison of various ATPG Techniques to Determine Optimal BIST," in 2018 International Conference on Intelligent Circuits and Systems (ICICS), Apr. 2018, pp. 93–98.

S. B. Jambagi and S. S. Yellampalli, "Exploration of Various Test Pattern Generators for Power Reduction in LBIST," in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), Sep. 2017, pp. 710–713.

M. Mosalgi and G. Hegde, "Power Optimized TPG for BIST Architecture," in 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Sep. 2017, pp. 1–4.

V. Thirunavukkarasu, R. Saravanan, and V. Saminadan, "Performance of low power BIST architecture for UART," in 2016 International Conference on Communication and Signal Processing (ICCSP), Apr. 2016, pp. 2290–2293.

L. Shaer, T. Sakakini, R. Kanj, A. Chehab, and A. Kayssi, "A low power reconfigurable LFSR," 2016 18th Mediterranean Electrotechnical Conference (MELECON), pp. 1–4, Apr. 2016.

R. Sharma and B. Singh, "Design and analysis of linear feedback shift register(LFSR) using gate diffusion input(GDI) technique," 2016 5th International Conference on Wireless Networks and Embedded Systems (WECON), pp. 1–5, Oct. 2016.

T. Patil and A. Dhankar, "A review on power optimized TPG using LP-LFSR for low power BIST," in 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), Oct. 2016, pp. 1–4.

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How to Cite

[1]
Priya Α.S., Kamatchi, S. and Lakshmi Prasad, E. 2024. Optimizing Switching Activity using LFSR-Driven Logic for VLSI Circuits. Engineering, Technology & Applied Science Research. 14, 6 (Dec. 2024), 18799–18804. DOI:https://doi.org/10.48084/etasr.9126.

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