A near-threshold RISC-V core with DSP extensions for scalable IoT Endpoint Devices
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Abstract (arXiv)
Endpoint devices for Internet-of-Things not only need to work under extremely tight power envelope of a few milliwatts, but also need to be flexible in their computing capabilities, from a few kOPS to GOPS. Near-threshold(NT) operation can achieve higher energy efficiency, and the performance scalability can be gained through parallelism. In this paper we describe the design of an open-source RISC-V processor core specifically designed for NT operation in tightly coupled multi-core clusters. We introduce instruction-extensions and microarchitectural optimizations to increase the computational density and to minimize the pressure towards the shared memory hierarchy. For typical data-intensive sensor processing workloads the proposed core is on average 3.5x faster and 3.2x more energy-efficient, thanks to a smart L0 buffer to reduce cache access contentions and support for compressed instructions. SIMD extensions, such as dot-products, and a built-in L0 storage further reduce the shared memory accesses by 8x reducing contentions by 3.2x. With four NT-optimized cores, the cluster is operational from 0.6V to 1.2V achieving a peak efficiency of 67MOPS/mW in a low-cost 65nm bulk CMOS technology. In a low power 28nm FDSOI process a peak efficiency of 193MOPS/mW(40MHz, 1mW) can be achieved.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Aug 2016.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 2; 2024: 2; 2025: 3; 2026: 1.
12 papers.
- 2021Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Modecited by 16
- 2023Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasingcited by 8
- 2022TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inferencecited by 4
- 2024xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systemscited by 4
- 2023Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVscited by 3
- 2022A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networkscited by 2
- 2022Toward Smart Doors: A Position Papercited by 2
- 2024MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shotscited by 2
- 2025Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollerscited by 2
- 2025HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databasescited by 1
- 2025Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computingcited by 0
- 2026LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extensioncited by 0
- 2026LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension3 Aug 2026
- 2025Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing25 May 2025
- 2025HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases21 May 2025
- 2025Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers8 Mar 2025
- 2024MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots4 Aug 2024
- 2024xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems29 May 2024
- 2023Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing15 May 2023
- 2023Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs3 Mar 2023
- 2022Toward Smart Doors: A Position Paper23 Sep 2022
- 2022TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference24 Mar 2022
- 2022A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks4 Jan 2022
- 2021Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode18 Oct 2021