From 77498b85344c2e93e13b8d22d91397b012e3376c Mon Sep 17 00:00:00 2001
From: lazariv <taras.lazariv@tu-dresden.de>
Date: Thu, 26 Aug 2021 14:23:49 +0000
Subject: [PATCH] Fix wording
---
.../docs/software/data_analytics_with_rstudio.md | 4 ++--
.../docs/software/distributed_training.md | 4 ++--
doc.zih.tu-dresden.de/docs/software/machine_learning.md | 3 +--
.../docs/software/python_virtual_environments.md | 8 ++++----
4 files changed, 9 insertions(+), 10 deletions(-)
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 d199e8eb7..7fd89780a 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 8d2e52394..ae707cc2b 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 60a8288a8..8225aa0a5 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 aed3f90eb..bb4d5141a 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.
--
GitLab