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TinyHLS - template-based, layer-oriented high level synthesis for CNNs

Listing Description

Result description

tinyHLS is a compact hardware compiler developed by Fraunhofer IMS. It processes tensorflow.keras neural networks and translates them into a dedicated co-processor unit. The generated outputs are platform independent and consist entirely of synthesizable Verilog HDL code. The co-processor is wrapped with a AHB-lite interface to allow easy integration into custom processor systems.

Radical Innovation Breakthrough
Artificial Intelligence, Automated indoor farming, Neuromorphic chip.

Addressing target audiences and expressing needs

Our needs are
  • Collaboration
  • Fellowship to advance my/our research
We specifically need / are looking for

We are looking for

  1. Test user of the compiler
  2. follow up projects
  3. developers joining the open source Github project
Target audiences
  • Research and Technology Organisations
  • Academia/ Universities
  • Private Investors

R&D, Technology and Innovation aspects

Current stage description

Prototype tested with public dataset for image recognition.

Add further algorithms and support of more neural network topologies.

Replicability

Code available as open source project on Github

Result submitted to Horizon Results Platform by FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV

Offer Details

Specifications and Deliverables:

Value Proposition:

easy to use, fast high level synthesis – from neural net to hardware with the push of a button

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Patent/Publication Number

Main Patent Claims:

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Adress:

HANSASTRASSE 27C
MUNCHEN
Bavaria
80686
Germany

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