diff --git a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md index d199e8eb792c74adcef5fa0a3f550f8fb02c9c57..7fd89780ade18eb15b7cc116ff89b1a778d876f2 100644 --- a/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md +++ b/doc.zih.tu-dresden.de/docs/software/data_analytics_with_rstudio.md @@ -14,5 +14,5 @@ similarly to a new kernel from [JupyterLab](../access/jupyterhub.md#jupyterlab) If an error "could not start RStudio in time" occurs, try reloading the web page with F5. ???note - Please note that it is currently not recommended to use an interactive x11 job with the - desktop version of RStudio, as described, for example, in introduction to HPC-DA slides. + Please note that it is currently not recommended to use an interactive `x11` job with the + desktop version of RStudio as described in the introductory slides. diff --git a/doc.zih.tu-dresden.de/docs/software/distributed_training.md b/doc.zih.tu-dresden.de/docs/software/distributed_training.md index 8d2e523942513a65752b654d0053938c8203c067..ae707cc2b7be066e01bde4ebc13adf425979cd4a 100644 --- a/doc.zih.tu-dresden.de/docs/software/distributed_training.md +++ b/doc.zih.tu-dresden.de/docs/software/distributed_training.md @@ -60,7 +60,7 @@ package to synchronize gradients and buffers. The tutorial could be found [here](https://pytorch.org/tutorials/intermediate/ddp_tutorial.html). -To use distributed data parallelization on Taurus please use following +To use distributed data parallelization on ZIH system please use following parameters: `--ntasks-per-node` -parameter to the number of GPUs you use per node. Also, it could be useful to increase `memomy/cpu` parameters if you run larger models. Memory can be set up to: @@ -93,7 +93,7 @@ in some cases better results than pure TensorFlow and PyTorch. Horovod is available as a module with **TensorFlow** or **PyTorch**for **all** module environments. Please check the [software module list](modules.md) for the current version of the software. -Horovod can be loaded like other software on the Taurus: +Horovod can be loaded like other software on ZIH system: ```Bash ml av Horovod #Check available modules with Python diff --git a/doc.zih.tu-dresden.de/docs/software/machine_learning.md b/doc.zih.tu-dresden.de/docs/software/machine_learning.md index 60a8288a84874c9993813af02c6990f590a5fb73..8225aa0a5528157a70a684ef99eb18041d6eaa04 100644 --- a/doc.zih.tu-dresden.de/docs/software/machine_learning.md +++ b/doc.zih.tu-dresden.de/docs/software/machine_learning.md @@ -90,7 +90,7 @@ virtual environment. The [Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to create documents containing live code, equations, visualizations, and narrative text. [JupyterHub](../access/jupyterhub.md) -allows to work with machine learning frameworks (e.g. TensorFlow or PyTorch) on Taurus and to run +allows to work with machine learning frameworks (e.g. TensorFlow or PyTorch) on ZIH system and to run your Jupyter notebooks on HPC nodes. After accessing JupyterHub, you can start a new session and configure it. For machine learning @@ -109,7 +109,6 @@ TensorFlow and PyTorch on the board: Community-supported `ppc64le` docker container for TensorFlow. * [PowerAI container](https://hub.docker.com/r/ibmcom/powerai/): Official Docker container with TensorFlow, PyTorch and many other packages. - Heavy container. It requires a lot of space. Could be found on Taurus. Note: You could find other versions of software in the container on the "tag" tab on the docker web page of the container. diff --git a/doc.zih.tu-dresden.de/docs/software/python_virtual_environments.md b/doc.zih.tu-dresden.de/docs/software/python_virtual_environments.md index aed3f90eb07b75ce4147fe95f50b2cb96f06ba86..bb4d5141a176f08005cf77904b8338844bddbfe3 100644 --- a/doc.zih.tu-dresden.de/docs/software/python_virtual_environments.md +++ b/doc.zih.tu-dresden.de/docs/software/python_virtual_environments.md @@ -43,15 +43,15 @@ Successfully installed torchvision-0.10.0 ??? comment clear up the following. Maybe leave only conda stuff... -There are two methods of how to work with virtual environments on -Taurus: +There are two methods of how to work with virtual environments on +ZIH system: 1. **virtualenv** is a standard Python tool to create isolated Python environments. It is the preferred interface for - managing installations and virtual environments on Taurus and part of the Python modules. + managing installations and virtual environments on ZIH system and part of the Python modules. 2. **conda** is an alternative method for managing installations and -virtual environments on Taurus. conda is an open-source package +virtual environments on ZIH system. conda is an open-source package management system and environment management system from Anaconda. The conda manager is included in all versions of Anaconda and Miniconda.