25–28 Sept 2023
Imperial College London
Europe/London timezone

Accomodating Transformer in the FastML era of HEP-EX

25 Sept 2023, 18:20
5m
Blackett Laboratory, Lecture Theatre 1 (Imperial College London)

Blackett Laboratory, Lecture Theatre 1

Imperial College London

Blackett Laboratory
Lightning Talk Contributed Talks Contributed Talks

Speaker

Sitian Qian (Peking University (CN))

Description

Recent years have witnessed the enormous success of the transformer models in various research fields including Natural Language Processing, Computational Vision as well as natural science territory. In the HEP community, models with transformer backbones have shown their power in jet tagging tasks. However, despite the impressive performance, transformer-based models are often large and computational heavily, resulting in low inference speeds. In this talk, I will discuss the preliminary results of our effort in accelerating the transformer models in the context of FastML.

Primary author

Sitian Qian (Peking University (CN))

Presentation materials