Arnold: an eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End-Nodes

A wide range of Internet of Things (IoT) applications require powerful, energy-efficient and flexible end-nodes to acquire data from multiple sources, process and distill the sensed data through near-sensor data analytics algorithms, and transmit it wirelessly. This work presents Arnold: a 0.5 V to 0.8 V, 46.83 uW/MHz, 600 MOPS fully programmable RISC-V Microcontroller unit (MCU) fabricated in 22 nm Globalfoundries GF22FDX (GF22FDX) technology, coupled with a stateof-the-art (SoA) microcontroller to an embedded Field Programmable Gate Array (FPGA). We demonstrate the flexibility of the System-OnChip (SoC) to tackle the challenges of many emerging IoT applications, such as (i) interfacing sensors and accelerators with non-standard interfaces, (ii) performing on-the-fly pre-processing tasks on data streamed from peripherals, and (iii) accelerating near-sensor analytics, encryption, and machine learning tasks. A unique feature of the proposed SoC is the exploitation of body-biasing to reduce leakage power of the embedded FPGA (eFPGA) fabric by up to 18x at 0.5 V, achieving SoA state bitstream-retentive sleep power for the eFPGA fabric, as low as 20.5 uW. The proposed SoC provides 3.4x better performance and 2.9x better energy efficiency than other fabricated heterogeneous re-configurable SoCs of the same class.

READ FULL TEXT

page 5

page 7

page 14

research
10/09/2020

An Energy-Efficient Low-Voltage Swing Transceiver for mW-Range IoT End-Nodes

As the Internet-of-Things (IoT) applications become more and more pervas...
research
12/18/2016

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

Near-sensor data analytics is a promising direction for IoT endpoints, a...
research
03/25/2020

Overview of the IBM Neural Computer Architecture

The IBM Neural Computer (INC) is a highly flexible, re-configurable para...
research
10/18/2021

Vega: A 10-Core SoC for IoT End-Nodes with DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode

The Internet-of-Things requires end-nodes with ultra-low-power always-on...
research
11/20/2015

WLAN Specific IoT Enable Power Efficient RAM Design on 40nm FPGA

Increasing the speed of computer is one of the important aspects of the ...
research
09/25/2020

Reducing Operation Cost of LPWAN Roadside Sensors Using Cross Technology Communication

Low-Power Wide-Area Network (LPWAN) is an emerging communication standar...
research
01/19/2022

A Low-Power BLS12-381 Pairing Crypto-Processor for Internet-of-Things Security Applications

We present the first BLS12-381 elliptic curve pairing crypto-processor f...

Please sign up or login with your details

Forgot password? Click here to reset