Differences

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--- en:hpc [2024/01/30 11:24] – rolnas
+++ en:hpc [2024/02/21 12:50] (current) – [Singularity] rolnas
@@ Line 19: / Line 19: @@
 You can check the list of OS package with the command ''dpkg -l'' (in login node **hpc** or in **power** nodes).
+===== Singularity =====
 With the command [[https://sylabs.io/guides/3.2/user-guide/index.html|singularity]] it is possible to make use of ready-made copies of container files in directories ''/apps/local/hpc'', ''/apps/local/nvidia'', ''/apps/local/intel'', ''/apps/local/lang'' or to download from singularity and docker online repositories. You can also create your own singularity containers using the MIF cloud service.
@@ Line 29: / Line 31: @@
 $ rm -rf /tmp/python
 </code>
+To use this container, it is advised to use different directory instead of home directory (for python packages don't mixup with installed to home directory).
+<code shell>
+$ mkdir ~/workdir
+$ singularity exec -H ~/workdir:$HOME python.sif python3 ...
+</code>
 Similarly, you can use R, Julia or other containers that do not require root privileges to install packages.
@@ Line 42: / Line 52: @@
 $ rm -rf /tmp/python
 </code>
+===== Hadoop =====
 There are ready-made scripts to run your **hadoop** tasks using the [[https://github.com/LLNL/magpie|Magpie]] set in the directory ''/apps/local/bigdata''.
+===== JupyterHub =====
 With [[https://hpc.mif.vu.lt/hub/|JupyterHub]] you can run calculations with the python command line in a web browser and use the [[https://jupyter.org|JupyterLab]] environment. If you install your own JupyterLab environment in your home directory, you need to install the additional ''batchspawner'' package - this will start your environment, for example: