An online training on GPU computing with PyTorch will be organized by the Academic Computer Centre Cyfronet AGH and the National Centre for Nuclear Research as part of the EuroCC2 project on 27 March 2026. This training is intended for users who would like to accelerate their Python numerical computations using graphics processing units (GPGPUs).
The training provides a practical introduction to general-purpose computing on graphics processing units (GPGPU) with a strong focus on the PyTorch framework. The aim is to provide the skills needed to design, implement, and profile GPU-accelerated computations. By the end of the training, attendees will be able to:
- use PyTorch tensors on GPU to implement basic numerical algorithms,
- use PyTorch for linear algebra,
- manage CPU–GPU memory transfers and reason about performance,
- profile GPU code and spot the main bottlenecks,
- write simple custom kernels in Triton and plug them into PyTorch workflows.
