hpc:how_to_use_openondemand
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hpc:how_to_use_openondemand [2023/11/10 16:42] – Adrien Albert | hpc:how_to_use_openondemand [2024/06/27 09:21] (current) – [How To connect] Yann Sagon | ||
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====== How To connect ====== | ====== How To connect ====== | ||
- | First each cluster will have his own openondemand | + | First each cluster will have his own OpenOnDemand |
- | You MUST use the same bind email to the unige account. It means: | + | You MUST use the same email bound to your HPC account. It means: |
* Unige email (@unige.ch) for unige members (Student/ | * Unige email (@unige.ch) for unige members (Student/ | ||
* Email used for registration for Outsider members | * Email used for registration for Outsider members | ||
- | If not, you will not be able to connect through | + | If not, you will not be able to connect through |
- | To access | + | Access |
- | ** :!: Yggdrasil | + | |
+ | Access to Bamboo OpenOnDemand web instance: https:// | ||
+ | |||
+ | ** :!: Yggdrasil | ||
====== Tabs ====== | ====== Tabs ====== | ||
===== Dashboard ===== | ===== Dashboard ===== | ||
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> :!: Some adjustment are required to make your own app work. | > :!: Some adjustment are required to make your own app work. | ||
+ | |||
+ | |||
===== Logout ===== | ===== Logout ===== | ||
To Logout you need to close you browser and not only the current tab. | To Logout you need to close you browser and not only the current tab. | ||
+ | |||
+ | ===== Launching applications ===== | ||
+ | This documentation has been taken from https:// | ||
+ | |||
+ | After choosing from the available applications, | ||
+ | |||
+ | {{: | ||
+ | |||
+ | |||
+ | Typically, when requesting resources, you will be given the option to choose number of cores, maximum running time and memory per core. If multiple versions of the application are available, this may be offered too. | ||
+ | |||
+ | For many use-cases, including non-computational visualisation, | ||
+ | |||
+ | There is also the option to request an email to notify you when the job starts, in the case of sessions which require longer queueing time. | ||
+ | |||
+ | For graphical applications, | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | {{: | ||
+ | |||
+ | |||
+ | <WRAP center round info 60%> | ||
+ | Note also the **View only** link. OnDemand sessions are secure and confined only to you. However, you have the option to share a **read-only view** of your session for purposes of monitoring progress of a job with a collaborator or to demonstrate work to a colleague. | ||
+ | </ | ||
+ | |||
+ | |||
+ | ==== Session persistence ==== | ||
+ | A session remains active for the time period you have requested it for. If you have finished your work, then we recommend that you close the application cleanly, followed by clicking Delete next to your session on My Interactive Sessions page. This will release resources back to the cluster. | ||
+ | |||
+ | If you are running a graphical application which uses a desktop environment, | ||
+ | |||
+ | Closing a browser tab while running a web service session such as Jupyter | ||
+ | |||
+ | {{: |
hpc/how_to_use_openondemand.1699634527.txt.gz · Last modified: 2023/11/10 16:42 by Adrien Albert