Difference between revisions of "General"

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{| class="wikitable"  
 
{| class="wikitable"  
| style="width:25%" | <Strong>Topic</Strong>
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| style="width:25%; background: #cccccc;" | <Strong>Topic</Strong>
| style="width:75%" | <Strong>Description</Strong>
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| style="width:75%; background: #cccccc;" | <Strong>Description</Strong>
 
|-
 
|-
 
| [[General/What_is_Viper|What is Viper]]
 
| [[General/What_is_Viper|What is Viper]]
 
| What is Viper?
 
| What is Viper?
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|-
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| [[General/Gallery|What does Viper look like?]]
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| What does Viper look like?
 
|-
 
|-
 
| [[General/Batch|Batch Jobs]]
 
| [[General/Batch|Batch Jobs]]
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|-
 
|-
 
| [[General/Modules|Modules]]
 
| [[General/Modules|Modules]]
| Application module guide. See  [[General/Modulesupdate|Modules update]].
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| Application module guide.
 
|-
 
|-
 
| [[General/Slurm|Slurm]]
 
| [[General/Slurm|Slurm]]
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| [[Training/Data_Backup|Data Backup]]
 
| [[Training/Data_Backup|Data Backup]]
 
| Data backup for user accounts
 
| Data backup for user accounts
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|-
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| [[General/Netdrive|Windows Net Drive]]
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| Connecting Viper's filestore as a Windows drive
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|-
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| [[General/Jupyternotebook|Running a jupyter notebook]]
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| Instructions on running a jupyter notebook on a computing node
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|-
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|}
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== Training ==
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{| class="wikitable"
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| style="width:25%; background: #cccccc;" | <Strong>Training Area</Strong>
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| style="width:75%; background: #cccccc;" | <Strong>Description</Strong>
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|-
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| [[Training/Getting Connected|Getting Connected]]
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| Learn how to connect to Viper
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|-
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| [[Training/XQuartz|XQuartz - macOS X11 ]]
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| Learn how to enable X11 window support on macOS
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|-
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| [[Training/X2Go macOS|X2Go - macOS]]
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| Learn how to install X2Go on macOS for use with Viper's Visualisation Nodes
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|-
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| [[Training/Transferring Data|Transferring Data]]
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| Learn how to download and upload data.
 +
|-
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| [[Training/Working Remotely on Viper|Working Remotely on Viper]]
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| Learn how to remotely connect to Viper (using a ''VPN'').
 +
|-
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| [[Training/Linux - command line|Linux command line]]
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| Learn the Linux command line with this extensive guide.
 +
|-
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| [[Training/Linux_-_vi_editor|Linux vi editor]]
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| Learn the Linux editor vi for editing files
 +
|-
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| [[Training/Linux - Nano editor|Linux nano editor]]
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| Learn the Linux editor nano for editing files
 +
|-
 +
| [[Training/Matlab-Viper-plugin|parallel computing in matlab]]
 +
| Learn about Matlab parallel toolbox that speed up your calculations on viper.
 +
|-
 +
| [[Scaling|Scaling programs on HPC]]
 +
| Learn about the issues of scaling programs up on HPC.
 
|-
 
|-
 
|}
 
|}
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* [[Libraries|Library support]]
 
* [[Libraries|Library support]]
 
* [[Programming|Development support]]
 
* [[Programming|Development support]]
* [[General|General]]
+
* [[General|General]] *
* [[Training|Training]]
 

Revision as of 09:43, 4 February 2020

General Support

Click on the links below for general support:

Topic Description
What is Viper What is Viper?
What does Viper look like? What does Viper look like?
Batch Jobs Viper batch jobs guide
Interactive Sessions Viper Interactive session guide
Modules Application module guide.
Slurm Slurm how-to
Visualisation Nodes Guide to using Viper's visualisation nodes
Data Backup Data backup for user accounts
Windows Net Drive Connecting Viper's filestore as a Windows drive
Running a jupyter notebook Instructions on running a jupyter notebook on a computing node

Training

Training Area Description
Getting Connected Learn how to connect to Viper
XQuartz - macOS X11 Learn how to enable X11 window support on macOS
X2Go - macOS Learn how to install X2Go on macOS for use with Viper's Visualisation Nodes
Transferring Data Learn how to download and upload data.
Working Remotely on Viper Learn how to remotely connect to Viper (using a VPN).
Linux command line Learn the Linux command line with this extensive guide.
Linux vi editor Learn the Linux editor vi for editing files
Linux nano editor Learn the Linux editor nano for editing files
parallel computing in matlab Learn about Matlab parallel toolbox that speed up your calculations on viper.
Scaling programs on HPC Learn about the issues of scaling programs up on HPC.