Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866910993334927360 |
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| author | Yadav, Priyanshu |
| author_facet | Yadav, Priyanshu |
| contents | This paper presents a comprehensive analysis of the RISC-V instruction set architecture, focusing on its modular design, implementation challenges, and performance characteristics. We examine the RV32I base instruction set with extensions for multiplication (M) and atomic operations (A). Through cycle-accurate simulation of a pipelined implementation, we evaluate performance metrics including CPI (cycles per instruction) and power efficiency. Our results demonstrate RISC-V's advantages in embedded systems and its scalability for custom accelerators. Comparative analysis shows a 17% reduction in power consumption compared to ARM Cortex-M0 implementations in similar process nodes. The open-standard nature of RISC-V provides significant flexibility for domain-specific optimizations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06693 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing Yadav, Priyanshu Hardware Architecture Artificial Intelligence Signal Processing C.1.3, B.5.2, I.5.1 C.1.3, B.5.2, I.5.1 C.1.3, B.5.2, I.5.1 This paper presents a comprehensive analysis of the RISC-V instruction set architecture, focusing on its modular design, implementation challenges, and performance characteristics. We examine the RV32I base instruction set with extensions for multiplication (M) and atomic operations (A). Through cycle-accurate simulation of a pipelined implementation, we evaluate performance metrics including CPI (cycles per instruction) and power efficiency. Our results demonstrate RISC-V's advantages in embedded systems and its scalability for custom accelerators. Comparative analysis shows a 17% reduction in power consumption compared to ARM Cortex-M0 implementations in similar process nodes. The open-standard nature of RISC-V provides significant flexibility for domain-specific optimizations. |
| title | Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing |
| topic | Hardware Architecture Artificial Intelligence Signal Processing C.1.3, B.5.2, I.5.1 C.1.3, B.5.2, I.5.1 C.1.3, B.5.2, I.5.1 |
| url | https://arxiv.org/abs/2506.06693 |