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ITEA is the Eureka Cluster on software innovation
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Methodology for Distributed CNN Inference on IoT Edge Devices

Project
16018 COMPACT
Type
New standard
Description
  • First approach for full distributed inference on IoT Edge nodes
  • Pools memory resources of all devices in network
Contact
Daniel Mueller-Gritschneder
Email
daniel.mueller@tum.de
Technical features

Input(s):

  • IoT Nodes
  • CNN

Main feature(s):

  • Code Generation of Distributed CNN Inference Software
  • Optimization

Output(s):

  • CNN Inference Software
Integration constraints
  • Based on larger library, only larger Edge Devices supported
  • Experimental, industrial adaption required
Targeted customer(s)

Providers of IoT Sensor Device Networks that want to integrate AI.

Conditions for reuse
  • Methodology published
  • Code not open source
Confidentiality
Public
Publication date
08-12-2020
Involved partners
Technical University of Munich (DEU)