The Luxembourg Competence Centre in High-Performance Computing (HPC), in collaboration with NVIDIA and OpenACC.org, is hosting online the AI for Science and Engineering Bootcamp for 2 half-days. The first part will be dedicated to theory, and the second part will focus on hands-on challenges on GPU accelerators of the MeluXina supercomputer.
Both current or prospective users of large hybrid CPU/GPU clusters, which develop HPC and AI applications and could benefit from GPU acceleration, are encouraged to participate!
After this course, participants will be able to:
- Apply Deep Convolutional Neural Networks for science and engineering applications
- Understand the Classification (multi-class classification) methodology in AI
- Implement AI algorithms using Keras (e.g. TensorFlow)
- Use an efficient usage of the GPU for AI algorithms (e.g. CNN) with handling large data set
- Run AI applications in the Jupyter notebook environment (and understand singularity containers)