Overview of disk areas

• Main disk areas and their specific uses on Roihu
  • See here for information about the disk areas on LUMI
• Moving data between supercomputers
• Understanding quotas (available space and number of files) of different disk areas
• Additional fast disk areas

Disk and storage overview

Main disk areas in Roihu

• Home directory ($HOME)
  • Other users cannot access your home directory
• ProjAppl directory (/projappl/project_name)
  • Shared with project members
  • Possible to limit access (chmod g-rw) to subfolders
• Scratch directory (/scratch/project_name)
  • Shared with project members
  • Files older than 180 days will be automatically removed
• These directories reside on the Lustre parallel file system
• Default quotas and more info in disk areas section of Docs CSC

Dataset projects in Roihu

• Roihu users can apply for separate dataset projects

• Intended for data sharing and active use, not long-term storage

• Dataset projects provide access to shared disk area under (/projappl/project_name) but have no computational resources

• Write access to a dataset directory is restricted to a single project, while multiple other projects can be granted read access to this disk area.

Moving data between and to/from supercomputers

• Roihu and LUMI have separate file systems
• Data can be moved between the supercomputers
  • directly with rsync (remember SSH agent forwarding)
  • via Allas object storage
• There are many ways to transfer data between the CSC supercomputers and your local computer

Displaying current status of disk areas

• Use the csc-workspaces command to show available projects and quotas

Disk and storage overview (revisited)

Additional fast local disk areas

• $TMPDIR on login nodes
  • Each of the login nodes have 80 GiB of fast local storage (per user) in $TMPDIR
  • The local disk is meant for temporary storage (e.g. compiling software) and is cleaned frequently
• NVMe disks on compute nodes on Roihu
  • All compute nodes have fast local disks (NVMe) in $TMPDIR
  • You must copy data to and from the fast disk during your batch job since the NVMe is accessible only during your job allocation
  • If your job reads and/or writes a lot of small files, using this can give a huge performance boost!

Disaggregated storage / smart bunch of flash (SBoF)

• Fast storage for compute jobs, similarly to compute node NVMe
• Available in larger quantities than the local NVMe on compute nodes
• Needs to be requested in the batch job script
• You must copy data to and from the fast disk during your batch job since the storage is accessible only during your job allocation

What are the different disk areas for? 1/2

• Allas – for data which is not actively used
• $HOME – small, for the most important (small) files, personal access only
• /scratch – main working area, shared with project members, only for data in active use
• /projappl – not cleaned up, e.g. for shared binaries
• /dataset – dataset projects for sharing data between mutiple projects

What are the different disk areas for? 2/2

• Login node $TMPDIR – compiling, temporary storage, fast I/O
• Compute node NVMe $TMPDIR – fast I/O in batch jobs
• SBoF – fast I/O in batch jobs for large amounts of data

Best practices

• None of the disk areas are automatically backed up by CSC, so make sure to perform regular backups to, e.g., Allas
• Don’t run databases or Conda on Lustre (/projappl, /scratch, $HOME, /dataset)
  • Containerize Conda environments with Tykky and use other CSC services like Pukki, cPouta or Rahti for databases
• Don’t create a lot of files, especially within a single folder
  • If you’re creating 10 000+ files, you should probably rethink your workflow
• Consider using fast local disks when working with many small files
• Lustre best practices and efficient I/O in high-throughput workflows