Code development and tutorials

Code development

• Building scientific software
• Building GPU software
• Software environment on Betzy
• Compilers
• Debugging
• Performance Analysis and Tuning
• Calling fortran routines from Python
• Creating a Singularity Overlay with Custom Python Packages on LUMI-G

Tutorials

In this section we present a list of tutorials covering different topics in heterogenous computing involving GPU (Graphics processing unit) accelerators: it goes from GPU programming models, Machine Learning, containers with GPU support to monitoring GPU-accelerated applications.

• GPU programming models
• Machine Learning
• Containers with GPU support
• Monitoring GPU accelerated applications
• Python libraries
• Profiling a Resnet-18 model on Multiple GPUs
• Performance Metrics
• Conclusion
• Relevant links