Ariel Lozano
(ULB),
Nicolas Potvin
(ULB département informatique)
16/11/2023, 09:30
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The use of Python for scientific computing is rising thanks to modules such as numpy, scipy and mathplotlib. This session explores the efficient uses of Python in that context for situations where numpy and co. are of less use. It assumes a working knowledge of... |
Cédric Simal
(Université de Namur)
16/11/2023, 14:00
Being specifically designed with numerical computing in mind, Julia natively supports parallel computing in its standard library, as well as a number of third party libraries. The goal of this advanced session is to cover important features for HPC, such as benchmarking code and parallelism.
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