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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
  • Search

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