On this page you will find further details about each of the hands-on tracks.
Applicants are expected to select one of them.
Introduction to Deep Learning - Dr. Markus Koskela & Dr. Mats Sjöberg, CSC
- Introduction to deep learning
- Multi-layer perceptron networks
- Images and convolutional neural networks
- Text data, embeddings, recurrent neural networks
- Attention models
- GPUs and batch jobs (LUMI or Puhti)
- Using multiple GPUs
- Exercises in the cluster
Introduction to GPU Programming with OpenMP - Dr. Jussi Enkovaara & Dr. Pekka Manninen, CSC
- Introduction to GPUs
- OpenMP programming model for GPUs
- Execution controls
- Data transfers
- Performance analysis
- Using multiple GPUs
Hackathon: Optimizing GPU applications on LUMI supercomputer - Dr. Fredrik Robertsen, CSC & Dr. Georgios Markomanolis, CSC
The participants are expected to bring a code that they expect to port or optimize for GPUs. Some instructors will be available to help you.
