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# Tutorials
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[Getting started with ML/DL on Supercomputers](https://gitlab.version.fz-juelich.de/hpc4ns/dl_on_supercomputers#getting-started-with-deep-learning-on-supercomputers) tutorial, created by Fahad Khalid (@khalid1), which has been tested on JUWELS, JURECA, and JURON (stand: 2019).
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[Getting started with ML/DL on Supercomputers](https://gitlab.version.fz-juelich.de/hpc4ns/dl_on_supercomputers#getting-started-with-deep-learning-on-supercomputers) tutorial, created by Fahad Khalid (@khalid1), which has been tested on JURECA, JUWELS, JUWELS Booster, and JUSUF (stand: 2019).
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A workshop ["Intro to Scalable Deep Learning"](https://gitlab.version.fz-juelich.de/MLDL_FZJ/juhaicu/jsc_public/sharedspace/teaching/intro_scalable_dl_2021/course-material) created by Mehdi Cherti, Jan Ebert, Alex Strube, Roshni Kamath, Stefan Kesselheim and Jenia Jitsev features a number of lectures and tutorials on distributed deep learning, including Horovod usage, on supercomputers. (stand: 2021)
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... | ... | @@ -41,31 +41,17 @@ Given that this is a shared environment, it might take a while until you get a r |
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tbd: Jenia Jitsev @jitsev1
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### JURECA and JUWELS
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### JURECA, JUWELS, JUWELS Booster, and JUSUF
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Fahad Khalid (@khalid1): The following Deep Learning related modules are available in the production stage:
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```
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1. Tensorflow 1.13.1
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2. Keras 2.2.4
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3. Horovod 0.16.2
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1. Tensorflow 2.3.1
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2. PyTorch 1.7.0
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3. Horovod 0.20.3
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```
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Many thanks to Damian Alvarez (@alvarezmallon1) and Rajalekshmi Deepu (@deepu1) for installing these modules and the many dependencies.
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### JURON
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Fahad Khalid (@khalid1): The following Deep Learning related modules are available on JURON:
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```
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1. Tensorflow 1.12.0 (Python 2 and Python 3)
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2. Keras 2.2.4 (Python 2 and Python 3)
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3. PyTorch 1.0.1 (Python 3)
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4. Horovod 0.15.2 (Python 2 and Python 3)
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5. Caffe 1.0 (Python 2 and Python 3)
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```
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All thanks to Andreas Herten (@herten1) for installing these modules and the many dependencies.
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Many thanks to Alexandre Strube (@strube1) for installing these modules and the many dependencies.
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### Pytorch & HEAT
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