Comparative energy awareness and performance analysis of ARM and RISC-V SHA-256 hardware acceleration on the RP2350

SHA-256 is a fundamental hashing algorithm in embedded security, authentication, data integrity verification, and hardware random number generation in resource-constrained systems. This paper presents a quantitative benchmarking study of SHA-256 on the Raspberry Pi RP2350, a microcontroller which has integrated both ARM Cortex-M33 and RISC-V Hazard3 cores on a single die, enabling a direct same-silicon architectural comparison under identical conditions. Throughput, execution time, current draw, and energy per kilobyte were measured across software and hardware-accelerated modes with and without Direct Memory Access on both cores, and against a software baseline on the predecessor RP2040. Hardware acceleration yielded speedups of 14.05 $$\times$$ and 13.58 $$\times$$ over software for the ARM and RISC-V cores respectively, with energy per KB reduced from approximately 25 $${\upmu }$$ J/KB to under 1.79 $${\upmu }$$ J/KB in both cases, while current draw remained stable between 17 and 18 mA across all configurations, indicating that efficiency gains are attributable to reduced execution time rather than lower active current. A counter-intuitive observation emerges from the DMA analysis: despite the ARM ecosystem’s significantly greater maturity in embedded bus integration, the ARM Cortex-M33 exhibits a larger DMA-induced throughput penalty (18.1%, factor of 1.221 $$\times$$ ) than the newer RISC-V Hazard3 core (13.6%, factor of 1.157 $$\times$$ ) when accessing the shared SHA-256 peripheral on identical silicon. To our knowledge, this is the first same-silicon comparison of ARM and RISC-V cryptographic acceleration with direct energy measurements, and the first published per-configuration energy characterization of the RP2350.

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Publication Details

Journal
Discover Electronics
Published
2026-07-27
DOI
https://doi.org/10.1007/s44291-026-00253-4
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

Comparative energy awareness and performance analysis of ARM and RISC-V SHA-256 hardware acceleration on the RP2350

V. Sarada, Atul Ravi, Sriram S., B. Kailash
Discover Electronics
Parallel Computing and Optimization Techniques
article

Comparative energy awareness and performance analysis of ARM and RISC-V SHA-256 hardware acceleration on the RP2350

V. Sarada, Atul Ravi, Sriram S., B. Kailash
article en

Abstract

SHA-256 is a fundamental hashing algorithm in embedded security, authentication, data integrity verification, and hardware random number generation in resource-constrained systems. This paper presents a quantitative benchmarking study of SHA-256 on the Raspberry Pi RP2350, a microcontroller which has integrated both ARM Cortex-M33 and RISC-V Hazard3 cores on a single die, enabling a direct same-silicon architectural comparison under identical conditions. Throughput, execution time, current draw, and energy per kilobyte were measured across software and hardware-accelerated modes with and without Direct Memory Access on both cores, and against a software baseline on the predecessor RP2040. Hardware acceleration yielded speedups of 14.05 $$\times$$ and 13.58 $$\times$$ over software for the ARM and RISC-V cores respectively, with energy per KB reduced from approximately 25 $${\upmu }$$ J/KB to under 1.79 $${\upmu }$$ J/KB in both cases, while current draw remained stable between 17 and 18 mA across all configurations, indicating that efficiency gains are attributable to reduced execution time rather than lower active current. A counter-intuitive observation emerges from the DMA analysis: despite the ARM ecosystem’s significantly greater maturity in embedded bus integration, the ARM Cortex-M33 exhibits a larger DMA-induced throughput penalty (18.1%, factor of 1.221 $$\times$$ ) than the newer RISC-V Hazard3 core (13.6%, factor of 1.157 $$\times$$ ) when accessing the shared SHA-256 peripheral on identical silicon. To our knowledge, this is the first same-silicon comparison of ARM and RISC-V cryptographic acceleration with direct energy measurements, and the first published per-configuration energy characterization of the RP2350.

Discover ElectronicsVol. 3(1)
SRM Institute of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 6%
Parallel Computing and Optimization Techniques
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Comparative energy awareness and performance analysis of ARM and RISC-V SHA-256 hardware acceleration on the RP2350 — V. Sarada, Atul Ravi, et al. · Discover Electronics (2026) | TGRS Research Map | TGRS