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Monday, June 29 • 12:30pm - 1:20pm
Living on the Edge: Pure Open Source AI Stack with Panfrost, GStreamer and Tensorflow Lite - Marcus Edel & Aaron Boxer, Collabora

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The current machine learning hardware landscape is dominated by Nvidia and its closed-source CUDA ecosystem. Although AMD's ROCm software is a growing rival, Nvidia is still the market leader by a wide margin. Open Source machine learning libraries such as TensorFlow, PyTorch and mlpack rely on this closed stack to accelerate learning and inference, locking developers in.

Can we give freedom of choice back to machine learning developers?

The new Panfrost open source driver for Mali GPUs is solving this problem on the Edge by enabling a fast and efficient machine learning stack running pure open source.

In this talk, we will walk through the process of building a computer vision pipeline on top of a completely open-source inference stack: open-source GPU driver, machine learning framework and machine learning models. We will also share what we have learned about optimizing these models to run fast on resource-constrained hardware such as the Rockchip RK3399.


Marcus Edel

Machine Learning Engineer, Collabora Ltd.
Marcus Edel is a software engineer in the machine-learning team at Collabora, Inc. where he leads the effort to optimise and apply deep networks for inference, with a focus on embedded devices. Marcus completed his graduate studies in 2020 with a focus on fast algorithms for core... Read More →

Aaron Boxer

Senior Software Engineer, Collabora Inc.
Aaron Boxer is a mathematician and developer, and has been building open-source systems since 2009. He enjoys the simple pleasure of squeezing every last ounce of performance out of both hardware and software. He currently works for Collabora and is based out of Toronto, Canada.

Monday June 29, 2020 12:30pm - 1:20pm CDT
AI/ML/DL Theater