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Inverted CERN School of Computing 2023

6–9 Mar 2023

CERN

Europe/Zurich timezone

CERN School of Computing

Computing.School@cern.ch

Lectures and exercises

Ahmed Abdelmotteleb (University of Warwick (GB))
- Speaker at Exercise: Quantum Computing (1/2)
- Speaker at Exercise: Quantum Computing (2/2)
- Speaker at Quantum Computing (1/2)
- Speaker at Quantum Computing (2/2)
Martin Cejp (CERN)
- Speaker at How a real-world C++ compiler works
Tom Dack (Science and Technology Facilities Council STFC (GB))
- Speaker at Authentication and Authorization for the WLCG
- Speaker at Exercise: Authentication and Authorization for the WLCG
Jack Henschel (CERN)
- Speaker at Cloud & Containers - Everything you need to know
- Speaker at Exercise: Cloud & Containers - Everything you need to know (1/2)
- Speaker at Exercise: Cloud & Containers - Everything you need to know (2/2)
Ivan Kabadzhov (Albert Ludwig University of Freiburg)
- Speaker at CPU Performance Profiling on Linux in the HEP Context
Peter Kicsiny (EPFL)
- Speaker at Exercise: Multiplatform programming with python
- Speaker at Multiplatform Programming with Python
Piotr Konopka (CERN)
- Speaker at Everything that can go wrong in a message passing system
Charis Kleio Koraka (University of Wisconsin Madison (US))
- Speaker at A simple introduction to accelerated computing
- Speaker at Exercise: A simple introduction to accelerated computing
Valeriia Lukashenko (Nikhef National institute for subatomic physics (NL))
- Speaker at The most beautiful line you can draw with Kalman filter (1/2)
- Speaker at The most beautiful line you can draw with Kalman filter (2/2)
Michal Maciejewski
- Speaker at Exercise: MLOps - Going from Good to Great
- Speaker at MLOps - Going from Good to Great
Alberto Pace (CERN)
- Speaker at Introduction
- Speaker at Opening welcome session
Enrica Maria Porcari (CERN)
- Speaker at Opening welcome session
Jacopo Talpini (Università degli Studi di Milano-Bicocca)
- Speaker at An introduction to Bayesian neural networks and uncertainty quantification in neural networks
Ilias Tsaklidis
- Speaker at Graph Neural Networks: From fundamentals to Physics application
Felix Wagner (HEPHY Vienna)
- Speaker at A Crash Course on Reinforcement Learning