RHS-TRNG: A Resilient High-Speed True Random Number Generator Based on STT-MTJ Device

Autor: Fu, Siqing, Li, Tiejun, Zhang, Chunyuan, Li, Hanqing, Ma, Sheng, Zhang, Jianmin, Zhang, Ruiyi, Wu, Lizhou
Rok vydání: 2023
Předmět:
Zdroj: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 31, no. 10, pp. 1578-1591, Oct. 2023
Druh dokumentu: Working Paper
DOI: 10.1109/TVLSI.2023.3298327
Popis: High-quality random numbers are very critical to many fields such as cryptography, finance, and scientific simulation, which calls for the design of reliable true random number generators (TRNGs). Limited by entropy source, throughput, reliability, and system integration, existing TRNG designs are difficult to be deployed in real computing systems to greatly accelerate target applications. This study proposes a TRNG circuit named RHS-TRNG based on spin-transfer torque magnetic tunnel junction (STT-MTJ). RHS-TRNG generates resilient and high-speed random bit sequences exploiting the stochastic switching characteristics of STT-MTJ. By circuit/system co-design, we integrate RHS-TRNG into a RISC-V processor as an acceleration component, which is driven by customized random number generation instructions. Our experimental results show that a single cell of RHS-TRNG has a random bit generation speed of up to 303 Mb/s, which is the highest among existing MTJ-based TRNGs. Higher throughput can be achieved by exploiting cell-level parallelism. RHS-TRNG also shows strong resilience against PVT variations thanks to our designs using bidirectional switching currents and dual generator units. In addition, our system evaluation results using gem5 simulator suggest that the system equipped with RHS-TRNG can achieve 3.4-12x higher performance in speeding up option pricing programs than software implementations of random number generation.
Comment: Published in: IEEE Transactions on Very Large Scale Integration (VLSI) Systems ( Volume: 31, Issue: 10, October 2023)
Databáze: arXiv
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