Short Overview: Joint work by SLAC and ELTE demonstrates a fully pipelined detector-to-LPU framework on the GC1 Groq card (currently nVidia), ... As part of the TMPA-2021 Conference, Mikhail Lebedev, Researcher, Ivannikov Institute for System Programming of the Russian ...

Open Source Tools For Neural Network Inference On Fpgas -

Joint work by SLAC and ELTE demonstrates a fully pipelined detector-to-LPU framework on the GC1 Groq card (currently nVidia), ... As part of the TMPA-2021 Conference, Mikhail Lebedev, Researcher, Ivannikov Institute for System Programming of the Russian ... James Davis, Imperial College London Georgios-Ilias Stavrou, Imperial College London Peter Cheung, Imperial College London ...

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  • Joint work by SLAC and ELTE demonstrates a fully pipelined detector-to-LPU framework on the GC1 Groq card (currently nVidia), ...
  • As part of the TMPA-2021 Conference, Mikhail Lebedev, Researcher, Ivannikov Institute for System Programming of the Russian ...
  • James Davis, Imperial College London Georgios-Ilias Stavrou, Imperial College London Peter Cheung, Imperial College London ...
  • The XACC Tech Talks are a series of virtual talks covering a broad range of topics related to Adaptive Compute.
  • Course project demonstration for ECE 6213 - Design of VLSI Circuits @ The George Washington University.

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Visual References

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Open-Source Tools for Neural Network Inference on FPGAs

Open-Source Tools for Neural Network Inference on FPGAs

As part of the TMPA-2021 Conference, Mikhail Lebedev, Researcher, Ivannikov Institute for System Programming of the Russian ...

MicroRec: Efficient Recommendation Inference on FPGAs

MicroRec: Efficient Recommendation Inference on FPGAs

The XACC Tech Talks are a series of virtual talks covering a broad range of topics related to Adaptive Compute.

LeFlow - MNIST Classification with FPGA

LeFlow - MNIST Classification with FPGA

Read more details and related context about LeFlow - MNIST Classification with FPGA.

TensorFlow to FPGA: DNN for classifying Google's Quick Draw Dataset using LeFlow (Demo)

TensorFlow to FPGA: DNN for classifying Google's Quick Draw Dataset using LeFlow (Demo)

Read more details and related context about TensorFlow to FPGA: DNN for classifying Google's Quick Draw Dataset using LeFlow (Demo).

10 μs Neural Network Inference Using FPGA-to-LPU Data Transfer

10 μs Neural Network Inference Using FPGA-to-LPU Data Transfer

Joint work by SLAC and ELTE demonstrates a fully pipelined detector-to-LPU framework on the GC1 Groq card (currently nVidia), ...

[FPGA 2022] Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference ✨

[FPGA 2022] Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference ✨

James Davis, Imperial College London Georgios-Ilias Stavrou, Imperial College London Peter Cheung, Imperial College London ...

Today, YOU learn how to put AI on FPGA.

Today, YOU learn how to put AI on FPGA.

And here is the GITHUB ! See you on the other side and enjoy the project !

End-to-End Neural Network Inference on FPGA

End-to-End Neural Network Inference on FPGA

Course project demonstration for ECE 6213 - Design of VLSI Circuits @ The George Washington University.

Simon Thye Andersen: Neural Networks in FPGAs

Simon Thye Andersen: Neural Networks in FPGAs

DataFest Online 2020 AI Hardware track Simon Thye Andersen, RISC-V Based

Machine Learning For Embedded Applications on FPGAs - Nick Fraser, Xilinx

Machine Learning For Embedded Applications on FPGAs - Nick Fraser, Xilinx

In this talk, Xilinx's Nick Fraser discusses the wide applications of