A RISC-V MCU with adaptive reverse body bias and ultra-low-power retention mode in 22 nm FD-SOI
Author:
Affiliation:
1. TU Dresden,Electrical and Computer Engineering Dept,Dresden,Germany
2. Racyics GmbH,Dresden,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10395912/10395932/10396509.pdf?arnumber=10396509
Reference9 articles.
1. The SpiNNaker 2 processing element architecture for hybrid digital neuromorphic computing;Höppner;arXiv:2103.08392
2. Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices
3. A 0.55V 6.3uW/MHz Arm Cortex-M4 MCU with Adaptive Reverse Body Bias and Single Rail SRAM
4. Adaptive Body Bias Aware Implementation for Ultra-Low-Voltage Designs in 22FDX Technology
5. A 9-mm2 Ultra-Low-Power Highly Integrated 28-nm CMOS SoC for Internet of Things
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