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The 12th Thematic CERN School of Computing (tCSC 2023) will take place on 11-17 June 2023. The academic programme will focus on Scientific Software for Heterogeneous Architectures, covering areas ranging from computer architectures to parallel and optimised software, and heterogeneous programming (CPU, GPU, HPC …).

tCSC 2023 is organized in collaboration with the University of Split Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB) and is hosted at the Mediterranean Institute For Life Sciences (MedILS) Conference Centre. The Centre is a historical building situated in a wooded and landscaped park, located on the Adriatic Sea coast, a few kilometers from the center of Split.

Technologies and Platforms

• Introduction to efficient computing
• Hardware evolution and heterogeneity
• Data-oriented design
• Summary and future technologies overview

Parallel and Optimised Scientific Software

• Writing parallel software
• Modern programming languages for HEP
• Optimizing existing large codebase
• Practical vectorization

Programming for Heterogeneous Architectures

• Scientific computing on heterogeneous architectures
• Programming for GPUs
• Performant programming for GPUs
• Design patterns and best practices

Additional lectures

• Preparing for the HL-LHC computational challenge
• Student presentations session

The School is aimed at postgraduate (minimum bachelor degree or equivalent) students, engineers and scientists with few years experience in particle physics, computing or related fields. We welcome applicants of all nationalities and encourage all qualified persons to apply. Limited financial support may be available.

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The 14th Inverted CERN School of Computing (iCSC 2023) consists of lectures and hands-on exercises presented over a few days by former CERN School of Computing students. The Inverted School provides a platform to share their knowledge by turning students into teachers.

Physics computing

• The most beautiful line you can draw with Kalman filter

Data science and machine learning

• Introduction to reinforcement learning
• Graph Neural Networks: From fundamentals to Physics application
• MLOps – Going from Good to Great
• Can we trust Neural Networks?
  An overview of uncertainty quantification in deep learning

Performance tuning and accelerated computing

• A simple introduction to accelerated computing
• How a real-world C++ compiler works
• Multiplatform programming with python
• CPU Performance Profiling and Optimization of C++ and Python code

Computer science and engineering

• Everything that can go wrong in a message passing system
• Cloud & Containers – Everything you need to know
• Authentication and Authorization for the WLCG
• Quantum Computing

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