Intro to compilers for machine learning | Studencki Festiwal Informatyczny

16th SFI Academic IT Festival

26 - 28 March 2020 | Auditorium Maximum UJ
16 edition 2020

Intro to compilers for machine learning

Type: Lecture
Speaker: Sebastian Peryt
Day: 22/03/2019 time: 18:00
Class: SFI Enterprise 1.38
Duration: 60 minutes
Language: Polish
SFI Edition: 15

Intro to compilers for machine learning


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.