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Cédric Simal (Université de Namur)11/02/2027, 09:30
Julia is designed for high-performance scientific computing and combines the productivity of dynamic languages with the speed of compiled ones. Thanks to its rich ecosystem, native support for parallelism, and excellent interoperability with existing scientific software, Julia is becoming an increasingly popular choice for HPC applications. This session introduces participants to the tools and...
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Ariel Lozano (ULB), Nicolas Potvin (ULB département informatique)11/02/2027, 13:15
Python has become one of the most widely used languages in scientific computing thanks to libraries such as NumPy, SciPy, and Matplotlib. However, writing efficient Python applications on HPC systems often requires going beyond basic usage of these libraries. This session focuses on performance-oriented Python programming, showing how to deploy scientific Python environments on CÉCI clusters,...
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