Lectures

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2025-08-15
13:21
OpenAccess [FZJ-2025-03493] Lecture (Other)
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How to organize your literature project - Carry out a systematic literature search and organize references
Lecture at Forschungszentrum Jülich (Jülich, Germany), [10.34734/FZJ-2025-03493]
The workshop was designed by the Information Services team at the Central Library of Forschungszentrum Jülich. It is for doctoral researchers and PhD students at the beginning of their doctoral thesis. [...]
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2025-07-24
10:06
[FZJ-2025-03233] Lecture (Invited)

Towards closed-loop bioprocess development: Robotic workflows for automated Desgin-Build-Test-Learn cycles
Lecture at (Bad Herrenalb, Germany), 18 Aug 2025 - 21 Aug 20252025-08-182025-08-21

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2025-07-14
13:56
OpenAccess [FZJ-2025-03047] Lecture (After Call)
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Efficient simulations of spiking neural networks using NEST GPU
Lecture at 34th Annual Computational Neuroscience Meeting (Florence, Italy), 5 Jul 2025 - 5 Jul 20252025-07-052025-07-05 [10.34734/FZJ-2025-03047]
Efficient simulation of large-scale spiking neuronal networks is important for neuroscientific research, and both the simulation speed and the time it takes to instantiate the network in computer memory are key factors. In recent years, hardware acceleration through highly parallel GPUs has become increasingly popular [...]
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2025-06-05
11:04
OpenAccess [FZJ-2025-02749] Lecture (Other)
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Introduction to Supercomputing at JSC: Hands-On
Lecture at JSC - as part of the Training Programme of Forschungszentrum Jülich (Germany), 12 May 2025 - 15 May 20252025-05-122025-05-15 [10.34734/FZJ-2025-02749]
This comprehensive, hands-on training document is intended as a practical guide for new users of the Jülich Supercomputing Centre (JSC) systems. Its primary objective is to onboard as many participants as possible and enable them to get started quickly with JSC systems. [...]
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2025-05-12
14:47
OpenAccess [FZJ-2025-02538] Lecture (Invited)

10 Jahre DEAL
Lecture at LMU München, Ringvorlesung „Open Access - Entwicklungen, Herausforderungen und Chancen“ (online, Germany), 12 May 2025 - 12 May 20252025-05-122025-05-12 [10.34734/FZJ-2025-02538]
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2025-04-03
12:51
[FZJ-2025-02189] Lecture (Other)
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Introduction to parallel programming with MPI
Lecture at JSC - as part of the Training Programme of Forschungszentrum Jülich (Jülich, Germany), 17 Mar 2025 - 19 Mar 20252025-03-172025-03-19

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2025-04-03
10:22
[FZJ-2025-02176] Lecture (Other)
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Parallel Programming with OpenMP
Lecture at JSC - as part of the Training Programme of Forschungszentrum Jülich (Jülich), 20 Mar 2025 - 21 Mar 20252025-03-202025-03-21

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2025-01-31
15:35
[FZJ-2025-01623] Lecture (Other)
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Bringing Deep Learning Workloads to JSC supercomputers
Lecture at Forschungszentrum Jülich (Jülich, Germany), 4 Dec 2024 - 5 Dec 20242024-12-042024-12-05
Fancy using High Performance Computing machines for AI? Fancy learning how to run your code one of Europe's fastest computers JUWELS Booster at FZJ? In this workshop, we will guide you through the first steps of using the supercomputer machines for your own AI application. This workshop should be tailored to your needs - and our team will guide you through questions like:<br>- How do I get access to the machines? <br>- How do I use the pre-installed, optimized software?<br>- How can I run my own code?<br>- How can I store data so I can access it fast in training?<br>- How can parallelize my training and use more than one GPU?<br><br>In this workshop, we will try to get your code and your workflow running and would like to make the start on a supercomputer as smooth as possible. [...]
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2025-01-31
15:29
[FZJ-2025-01619] Lecture (Other)
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Deep Learning on Supercomputers
Lecture at JSC - as part of the Training Programme of Forschungszentrum Jülich (Jülich, Germany), 11 Nov 2024 - 14 Nov 20242024-11-112024-11-14
This course offers the opportunity to attend lectures selectively, based on individual needs and knowledge levels. Participants are not required to attend all sessions as some may cover advanced or basic material [...]
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2025-01-31
15:26
[FZJ-2025-01617] Lecture (Other)
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Deep Learning for Neuroscience
Lecture at Forschungszentrum Jülich (Jülich, Germany), 19 Nov 2024 - 19 Nov 20242024-11-192024-11-19
Machine Learning – in particular deep learning – has become an indispensable tool for analyzing large neuroscience datasets. The Helmholtz AI team at Jülich is closely connected to these developments and supports research activities at the intersection of AI, high-performance computing (HPC) and neuroscience. [...]
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