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Tricks for Efficient Multicore Computing


In this presentation you will learn about:

  • The concurrent.futures API of Python 3
  • Threads vs forked processes vs spawned processes (pros and cons)
  • The impact of the GIL on CPU-bound Python programs
  • Bad interactions of fork-based multiprocessing and OpenMP runtimes
  • BLAS-based parallelism (e.g. MKL, OpenBLAS)
  • Memory bandwidth bound operations, arithmetic intensity and the roofline model.

This talk will include non-representative micro-benchmarks and silly quizzes for the audience :)

We will also quickly introduce the loky project to help mitigate some of the problems.


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