Skip to content
Snippets Groups Projects
Commit e3321b2b authored by Pavel Jirásek's avatar Pavel Jirásek
Browse files

link, table

parent 3e3a9008
Branches
No related tags found
5 merge requests!368Update prace.md to document the change from qprace to qprod as the default...,!367Update prace.md to document the change from qprace to qprod as the default...,!366Update prace.md to document the change from qprace to qprod as the default...,!323extended-acls-storage-section,!41Content revision2
Pipeline #
Hide whitespace changes
Inline Side-by-side
docs.it4i/anselm-cluster-documentation/remote-visualization.md
+ 3
− 3
View file @ e3321b2b
...@@ -38,7 +38,7 @@ The procedure is: ...@@ -38,7 +38,7 @@ The procedure is:
#### 1. Connect to a login node. #### 1. Connect to a login node.
Please follow the documentation. Please [follow the documentation](shell-and-data-access/).
#### 2. Run your own instance of TurboVNC server. #### 2. Run your own instance of TurboVNC server.
...@@ -133,8 +133,8 @@ Access the visualization node ...@@ -133,8 +133,8 @@ Access the visualization node
**To access the node use a dedicated PBS Professional scheduler queue **To access the node use a dedicated PBS Professional scheduler queue
qviz**. The queue has following properties: qviz**. The queue has following properties:
|queue |active project |project resources |nodes|min ncpus*|priority|authorization|walltime | |queue |active project |project resources |nodes|min ncpus|priority|authorization|walltime |
| --- | --- | | --- | --- | --- | --- | --- | --- | --- | --- |
|**qviz** Visualization queue |yes |none required |2 |4 |150 |no |1 hour / 8 hours | |**qviz** Visualization queue |yes |none required |2 |4 |150 |no |1 hour / 8 hours |
Currently when accessing the node, each user gets 4 cores of a CPU allocated, thus approximately 16 GB of RAM and 1/4 of the GPU capacity. *If more GPU power or RAM is required, it is recommended to allocate one whole node per user, so that all 16 cores, whole RAM and whole GPU is exclusive. This is currently also the maximum allowed allocation per one user. One hour of work is allocated by default, the user may ask for 2 hours maximum.* Currently when accessing the node, each user gets 4 cores of a CPU allocated, thus approximately 16 GB of RAM and 1/4 of the GPU capacity. *If more GPU power or RAM is required, it is recommended to allocate one whole node per user, so that all 16 cores, whole RAM and whole GPU is exclusive. This is currently also the maximum allowed allocation per one user. One hour of work is allocated by default, the user may ask for 2 hours maximum.*
......
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment