HPDA-Python
Preparation
Installation and LUMI Access
The lesson
Motivation
Scientific Data
Efficient Array Computing
Parallel Computing
Benchmarking, profiling and optimizing
Performance Boosting
Dask for Scalable Analytics
Optional material
Installation in EuroHPC Systems
Pandas (II)
GPU Computing
Parallel Computing (II)
Benchmarking, profiling and optimizing (II)
Dask (II)
Reference
Instructor’s Guide
HPDA-Python
Index
Edit on GitHub
Index