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Institute for Advanced Simulation (IAS)
Jülich Supercomputing Centre (JSC)
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2025
Training courses 2025
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JSC OpenStack training (training course, online)
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Introduction to parallel programming with MPI
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Parallel programming with OpenMP
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Introduction to Bayesian Statistical Learning (training course, online)
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GPU Programming Part 1: Foundations (training course, on-site)
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Interactive High-Performance Computing with JupyterLab (training course, online)
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Introduction to Bayesian Statistical Learning 2 (training course, online)
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Data Analysis and Plotting in Python with Pandas (training course, online)
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Virtual Worlds for Machine Learning (training course, online)
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Introduction to Supercomputing at JSC - Theory & Practice (training course, online)
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Programming in C++ (training course, on-site)
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High-performance computing with Python (training course, online)
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GPU programming Part 2: Advanced GPU Programming (training course, online)
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Introduction to parallel programming with MPI and OpenMP (training course, on-site)[beginner+intermediate level]
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In-Situ Visualization on High-Performance-Computers (training course, online)
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High-performance scientific computing in C++ (training course, online)
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Introduction to Supercomputing at JSC - Theory & Practice (training course, online)
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Directive-based GPU programming with OpenACC (training course, online)
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Advanced Parallel Programming with MPI and OpenMP (training course, online)
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Bringing Deep Learning Workloads to JSC supercomputers (training course, online, 1st run)
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Bringing Deep Learning Workloads to JSC supercomputers (training course, online, 2nd run)
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Bringing Deep Learning Workloads to JSC supercomputers (training course, online, 3rd run)
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Bringing Deep Learning Workloads to JSC supercomputers (training course, online, 4th run)
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Einführung in ParaView zur Visualisierung von wissenschaftlichen Daten (training course, online)
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Introduction to Unreal Engine for Science (training course, online)
Last Modified: 18.12.2024
