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CERN

European Organization for Nuclear Research
Country: Switzerland
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287 Projects, page 1 of 58
  • Funder: EC Project Code: 272515
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  • Funder: EC Project Code: 966696
    Funder Contribution: 150,000 EUR

    With Deep Learning becoming ubiquitous in our life, running Deep Learning algorithms in real time on an heterogeneous set of hardware platforms is a pressing need in many aspects of our society. While traditional workflows based on standard CPUs and GPUs are established, Deep Learning inference on low-power devices (e.g., cars, smart phones, watches, etc) is gaining more attention. Typically, this would require strong background in electronic engineering to convert a neural network into a Digital Signal Processor. We propose to develop a complete open-software library to automatically convert Deep Neural Networks to electronic circuits, using High Level Synthesis tools. With a large basis of potential applications (e.g., autonomous cars, medical devices, portable monitoring devices, custom electronics as in the real-time data processing system of large-scale scientific experiments, etc.), the hls4ml library would assists users by automatising the logic circuit design as well as by reducing resource utilisation while preserving accuracy.

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  • Funder: EC Project Code: 338953
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  • Funder: EC Project Code: 219830
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  • Funder: EC Project Code: 626904
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