Wprowadzenie do kompilatorów w machine learningu | Studencki Festiwal Informatyczny

16. Studencki Festiwal Informatyczny

26 - 28 Marca 2020 | Auditorium Maximum UJ
16 edycja 2020

Wprowadzenie do kompilatorów w machine learningu

Typ: Wykład
Prelegent: Sebastian Peryt
Dzień: 22/03/2019 godzina: 18:00
Sala: SFI Enterprise 1.38
Czas trwania: 60 minut
Język: Polski
Edycja: 15
Temat

Wprowadzenie do kompilatorów w machine learningu

Abstrakt

The growing area of deep learning spawns the creation of a new type of compilers, which are designed to squeeze the most out of hardware running various convolutional networks.

Using 3 examples – Intel® Nervana™ Graph (nGraph™), Facebook Glow and NVIDIA TensorRT™, I’d like my talk to be an introduction to this type of compilers. To better understand the topic of compilers itself I would be also providing a basic explanation of regular compiler.

This explanation would allow later extrapolate the knowledge on the topic of deep learning compilers. Using 3 mentioned state-of-the-art compilers I intend to present common building blocks as well as briefly describe significant differences among them.

As a final point, I’d be highlighting differences and similarities between deep learning and regular compilers.

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