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* <h3>[[Fair Use Policy]]</h3> Using shared resources considerately
* <h3>[[Fair Use Policy]]</h3> Using shared resources considerately


== Documentation ==
== [[Software]] ==
* <h3>[[Software Overview]]</h3> The software landscape
* <h3>[[Environment Modules]]</h3> Loading software with modules and buckets
* <h3>[[Installing Personal Software]]</h3> Installing into your own space
* <h3>[[Licensed Software]]</h3> Software that needs a licence
 
=== Scripting languages ===
* <h3>[[Python]]</h3> Python modules and environment managers
* <h3>[[R]]</h3> R modules, packages, and parallel R jobs
* <h3>[[Julia]]</h3> Loading Julia, packages, and running it in a job
 
=== Containers ===
* <h3>[[Apptainer]]</h3> Portable, reproducible containers for HPC
 
=== MPI implementations ===
* <h3>[[OpenMPI]]</h3> The MPI library Anunna is built around
* <h3>[[IntelMPI]]</h3> Intel MPI, with the Intel compilers and MKL
 
== [[Storage]] ==
* <h3>[[Storage Systems Overview]]</h3> The storage tiers at a glance
* <h3>[[Home Directory]]</h3> Your personal space
* <h3>[[Compute Storage]]</h3> The fast Lustre filesystem for active work
* <h3>[[Shared Storage]]</h3> Sharing data within a group
* <h3>[[Backup Policy]]</h3> What is backed up, and what is not
* <h3>[[Archival Storage]]</h3> Long-term storage on tape
* <h3>[[Quotas]]</h3> Storage limits
* <h3>[[Data Lifecycle Policy]]</h3> How data moves from active to archived to removed
* <h3>[[Data storage best practices]]</h3> Keeping data safe, tidy, and cheap
* <h3>[[Data Transfer Best Practices]]</h3> Moving data efficiently and reliably
* <h3>[[Handling Sensitive Data (GDPR, etc.)]]</h3> Confidential and personal data
 
* <h3>[[Portal Overview]]</h3> What the portal is and how the dashboard is laid out
* <h3>[[Running GUI Applications]]</h3> The general way to launch and connect to a graphical application
* <h3>[[How to Launch a Desktop Session]]</h3> Start a full Linux desktop in your browser
* <h3>[[Jupyter]]</h3> Jupyter notebooks
* <h3>[[RStudio]]</h3> The RStudio IDE for R and Python
* <h3>[[File Browser]]</h3> Manage your files in the browser
* <h3>[[Shell Access]]</h3> A terminal in the browser
* <h3>[[Jobs Queue Overview]]</h3> See your jobs in the browser
 
== [[Training]] ==
* <h3>[[Training Materials]]</h3> Course slides and self-study resources
* <h3>[[Tutorials]]</h3> Hands-on tutorials
* <h3>[[Workshops]]</h3> Instructor-led courses and their dates
* <h3>[[Glossary of Terms]]</h3> Common HPC and Anunna terms explained
 
== [[Support]] ==
* <h3>[[How to Get Help]]</h3> Who to contact and how
* <h3>[[Support Ticket System]]</h3> The WUR support portal
* <h3>[[Reporting Incidents]]</h3> Writing a good problem report
* <h3>[[Known Issues]]</h3> Current problems and workarounds
* <h3>[[Our User community]]</h3> The Anunna user community
* <h3>[[Maintenance Schedule]]</h3> Planned downtimes
 
== [[For PIs]] ==
* <h3>[[Dos and Don'ts]]</h3> Good and bad practice at a glance
* <h3>[[Managing Group Members]]</h3> Working with groups
* <h3>[[Storage Requests]]</h3> Requesting more storage
* <h3>[[Resource Allocation Requests]]</h3> Requesting larger or dedicated allocations
* <h3>[[External Collaborator Access]]</h3> Giving access to collaborators outside WUR
* <h3>[[Reporting Usage]]</h3> Tracking your group's usage and costs
* <h3>[[Grant Support & Acknowledgement]]</h3> Facility descriptions and support for funding applications


=== Start here ===


* [[Glossary of Terms]] — common HPC and Anunna terms explained


=== Using the cluster ===


* [[Scheduling]] — submitting and managing jobs with SLURM
* [[Software]] — modules, languages, containers, and licensed software
* [[Storage]] — the storage tiers and how data is kept and protected
* [[Apps Portal]] — graphical applications and desktops in your browser
* [[Workflows]] — reproducible, efficient research workflows
* [[Workflows]] — reproducible, efficient research workflows


=== Help and more ===


* [[Training]] — courses, tutorials, and reference material
* [[Support]] — getting help, reporting problems, and cluster status
* [[For PIs]] — projects, allocations, and group management for group leaders


== Quick links ==
== Quick links ==
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* [[How to Get Help]] — contact the HPC team
* [[How to Get Help]] — contact the HPC team
* [[Maintenance Schedule]] — planned downtimes
* [[Maintenance Schedule]] — planned downtimes
* [[Glossary of Terms]] — common HPC and Anunna terms explained


== External links ==
== External links ==


* [https://www.wur.nl/en/Value-Creation-Cooperation/Facilities/Wageningen-Shared-Research-Facilities/Our-facilities/Show/High-Performance-Computing-Cluster-HPC-Anunna.htm Wageningen Shared Research Facilities — HPC]
* [https://www.wur.nl/en/Value-Creation-Cooperation/Facilities/Wageningen-Shared-Research-Facilities/Our-facilities/Show/High-Performance-Computing-Cluster-HPC-Anunna.htm Wageningen Shared Research Facilities — HPC]

Revision as of 15:29, 28 August 2026

Anunna is a High Performance Computing (HPC) cluster hosted by Wageningen University & Research. It is open to all WUR research groups, and to other organisations and companies running collaborative projects with WUR.

You reach the cluster over SSH at login.anunna.wur.nl, or through your browser at the Apps Portal (https://apps.anunna.wur.nl/).


Scripting languages

  • Python modules and environment managers
  • R modules, packages, and parallel R jobs
  • Loading Julia, packages, and running it in a job

Containers

  • Portable, reproducible containers for HPC

MPI implementations

  • The MPI library Anunna is built around
  • Intel MPI, with the Intel compilers and MKL



  • Workflows — reproducible, efficient research workflows