Video: High-Performance Computing with Python – Reducing Bottlenecks
by Rich Brueckner from High-Performance Computing News Analysis | insideHPC on (#4N2F3)
This course addresses scientists with a working knowledge of NumPy who wish to explore the productivity gains made possible by Python for HPC. "We will show how Python can be used on parallel architectures and how to optimize critical parts of the kernel using various tools. The following topics will be covered: - Interactive parallel programming with IPython - Profiling and optimization - High-performance NumPy - Just-in-time compilation with Numba - Distributed-memory parallel programming with Python and MPI - Bindings to other programming languages and HPC libraries - Interfaces to GPUs."
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