Deployment of TinyML on THEJAS32 based IoT Platform
编号:37 访问权限:仅限参会人 更新:2025-11-19 09:20:25 浏览:1次 拓展类型2

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摘要

THEJAS32 SoC is based on the VEGA ET1031 processor, a 32-bit single core, in-order, 3-stage pipeline processor developed by C-DAC under the MDP. This work presents the maiden attempt to deploy Tiny Machine Learning (TinyML) on a hardware platform built around the THEJAS32 SoC. A TinyML model was trained and optimized using the TensorFlow framework using Google Colab and deployed to the hardware using the VEGA Software Development Kit (SDK). The model was compressed by as much as 97% compared to the one developed using TensorFlow. This validates the viability of the TinyML-IoT-THEJAS32 platform for TinyML applications.


 
关键词
TinyML,RISC-V,Edge AI,THEJAS32,VEGA SDK
报告人
Aleena Vinod
Project Engineer Centre for Development of Advanced Computing

稿件作者
Aleena Vinod Centre for Development of Advanced Computing
Prem Krishnan N Centre for Development of Advanced Computing
Shibu R M Centre for Development of Advanced Computing
Subina Gafoor A Centre for Development of Advanced Computing
Bhagyasree V S Centre for Development of Advanced Computing
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重要日期
  • 会议日期

    12月29日

    2025

    12月31日

    2025

  • 11月30日 2025

    初稿截稿日期

  • 12月30日 2025

    报告提交截止日期

  • 12月30日 2025

    注册截止日期

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