2.4 Gbps, 7 mW All-Digital PVT-Variation Tolerant True Random Number Generator for 45 nm CMOS High-Performance Microprocessors
Abstract
This paper describes an all-digital PVT-variation tolerant true-random number generator (TRNG), fabricated in 45 nm high-k/metal-gate CMOS, targeted for on-die entropy generation in high-performance microprocessors. The TRNG harvests differential thermal-noise at the diffusion nodes of a pre-charged cross-coupled inverter pair to resolve out of metastability, generating one random bit/cycle. A self-calibrating 2-step tuning mechanism using coarse-grained configurable inverters and fine-grained programmable clock delay generators, along with an entropy-tracking feedback loop provide tolerance to 20% PVT variation-induced device mismatches, enabling lowest-reported energy-consumption of 2.9 pJ/bit with a dense layout occupying 4004 μm2, while achieving: (i) 2.4 Gbps random bit throughput, 7 mW total power consumption with 0.7 mW leakage power component, measured at 1.1 V, 50°C, (ii) random bitstreams that passes all NIST RNG tests with raw entropy/bit measured up to 0.9999999993, (iii) good distribution of 1's with 4-bit entropy of 3.97996 and high-entropy pattern probability of 0.066 (iv) wide operating supply voltage range with robust sub-threshold voltage performance of 14 Mbps, 5.6 μW, measured at 280 mV, 50°C, (v) 12 fine-grained high-entropy settings for the TRNG to dither in during steady-state operation, (vi) <;3% error while using an analytical ergodic Markov chain model for predicting pattern probabilities and (vii) 200x higher throughput and 9x higher energy-efficiency than previously reported implementations. Design modifications for robust operation in 22 nm high-volume manufacturing in the presence of 3σ process variations demonstrate scalability of the all-digital design to future technologies.
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Intel's self-calibrating 2-step tuning metastability-based TRNG provided tolerance to 20% PVT variation.
“Meanwhile, a self-calibrating 2-step tuning mechanism was used for metastability-based TRNG by Intel and it provided tolerance to 20% PVT variation [10].”
From True Random Number Generators Using Electrical Noise (2019) · cites this paper as [10]
Classical noise-based TRNGs consume lots of power because noise must be amplified a few orders to digital logic level, and designing an amplifier is complex.
“However, this process will consume lots of power because noise is leveled up a few orders to meet the needs of digital logic level, and designing amplifier is a complex work [10].”
From True Random Number Generators Using Electrical Noise (2019) · cites this paper as [10]
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References 19 · Cited by 195
- Authors
- Mathew, S. K., Srinivasan, S., Anders, M. A., Kaul, H., Hsu, S. K., Sheikh, F., Agarwal, A., Satpathy, S., & Krishnamurthy, R. K.
- Affiliations
- Intel (United States) (US)
- ORCID
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2012-11
- Volume
- 47
- Issue
- 11
- Pages
- 2807-2821
- ISSN
- 0018-9200 (ISSN-L)
- 1558-173X
- OpenAlex
- W2010205010
- Cited by
- 195
- References
- 19
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 17 · 2023: 8 · 2022: 23 · 2021: 20 · 2020: 20 · 2019: 28 · 2018: 17 · 2017: 18 · 2016: 11 · 2015: 7 · 2014: 6
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal of Solid-State Circuits (publishedVersion)
- Funders
- Intel Corporation
- University of Illinois at Urbana-Champaign
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Physical Unclonable Functions (PUFs) and Hardware Security
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Low-power high-performance VLSI design
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Keywords
- true random number generator, PVT variation tolerance, thermal noise, cross-coupled inverters, metastability, self-calibration, leakage power, subthreshold operation, microprocessor security, 45 nm CMOS
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