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A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications

Published: 01 August 2022 Publication History

Abstract

Artificial intelligence (AI) based wearable applications collect and process a significant amount of streaming sensor data. Transmitting the raw data to cloud processors wastes scarce energy and threatens user privacy. Wearable edge AI devices should ideally balance two competing requirements: (1) maximizing the energy efficiency using targeted hardware accelerators and (2) providing versatility using general-purpose cores to support arbitrary applications. To this end, we present an open-source domain-specific programmable system-on-chip (SoC) that combines a RISC-V core with a meticulously determined set of accelerators targeting wearable applications. We apply the proposed design method to design an FPGA prototype and six real-life use cases to demonstrate the efficacy of the proposed SoC. Thorough experimental evaluations show that the proposed SoC provides up to 9.1 × faster execution and up to 8.9 × higher energy efficiency than software implementations in FPGA while maintaining programmability.

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Cited By

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  • (2024)Development and Assessment of Energy-Efficient Approaches for AI-Based Green ComputingInternational Conference on Smart Environment and Green Technologies – ICSEGT202410.1007/978-3-031-81567-6_21(179-187)Online publication date: 30-Dec-2024

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cover image ACM Conferences
ISLPED '22: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design
August 2022
192 pages
ISBN:9781450393546
DOI:10.1145/3531437
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 August 2022

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Author Tags

  1. Domain-specific system-on-chip
  2. Energy efficiency
  3. Hardware accelerator
  4. Healthcare
  5. Low-power
  6. RISC-V
  7. Wearable computing

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  • (2024)Development and Assessment of Energy-Efficient Approaches for AI-Based Green ComputingInternational Conference on Smart Environment and Green Technologies – ICSEGT202410.1007/978-3-031-81567-6_21(179-187)Online publication date: 30-Dec-2024

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