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HLRN provides tailored WORK file systems for improved IO throughput of IO intense job workloads.

Default Lustre (WORK)

WORK is the default shared file system for all jobs and can be accessed using the $WORK variable. WORK is accessible for all users and consists of 8 Metadata Targets (MDT's) with NVMe SSDs and 28 Object Storage Targets (OST's) on Lise and 100 OST's on Emmy handling the data. Both using classical hard drives.

Access: $WORK

Size: 8 PiB quoted


Special File System Types

Lustre with striping (WORK)

Some workloads will benefit of striping. Files will be split transparently between a number of OSTs.

Especially large shared file IO patterns will benefit from striping. Up to 28 OSTs on Lise and up to 100 OST's on Emmy can be used, recommended are up to 8 OSTs for Lise and 32 OSTs on Emmy.

Access: create a new directory in $WORK and set lfs setstripe -c <stripsize> <dir>

Size: 8 PiB like WORK


Local SSDs

Some Compute Nodes are installed with local SSD storage up to 2 TB on Lise and 400 GB on Emmy.

Data on local SSDs can not be shared across nodes and will be deleted after the job is finished.

For unshared local IO this is the best performing file system to use.



Lise: SSDLise: CASEmmy: SSD
Access

via partition: standard96:ssd

using $LOCAL_TMPDIR

via partition: large96 and huge96

using $LOCAL_TMPDIR

via partition: medium40, large40, standard96:ssd, large96, huge96

using $LOCAL_TMPDIR

Type and sizeIntel NVMe SSD DC P4511 (2 TB)

Intel NVMe SSD DC P4511 (2 TB) using

Intel Optane SSD DC P4801X (200 GB)

as write-trough cache

Intel DC S4500 (400 GB)

Intel NVMe SSD (1TB)


FastIO - Lise only

WORK is extended with 4 additional OST's using NVMe SSDs to accelerate heavy IO-demands. To accelerate specific IO-demands further striping for up to 4 OSTs is available.

Access: create a new directory in $WORK and set lfs setstripe -p flash <dir>

Size: 55 TiB - quoted


IME - Emmy only

DDN Infinite Memory Engine (IME) based Burst Buffers is a fast NVMe Solid State Disk (SSD) based data tier. Like Lise's FastIO this is especially helpful for random IO (especially random read) on large files.

Using the Burst Buffer for random IO helps to avoid overloading the global filesystem which results in slow job runtimes for all users. Beside the POSIX interface a native API and a MPI-IO module for further acceleration is available.

IME servers are currently available for use in EMMY.

Access: ask support@hlrn.de for access

Size: 48 TiB


Finding the right File System

If your jobs have a significant IO part we recommend asking your consultant via support@hlrn.de to recommend the right file system for you.

Local IO

If you have a significant amount of node-local IO which is not needed to be accessed after job end and will be smaller than 2 TB on Lise and 400 GB on Emmy we recommend using $LOCAL_TMPDIR. Depending on your IO pattern this may accelerate IO to up to 100%.

Global IO

Global IO is defined as shared IO which will be able to be accessed from multiple nodes at the same time and will be persistent after job end.

Especially random IO on small files will be accelerated up to 200% using FastIO on Lise or IME on Emmy.


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