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Sigma @ NSC (Compute resource)
Sigma, sigma.nsc.liu.se, runs a Rocky Linux 9 version of the NSC Cluster Software Environment. This means that most things are very familiar to Gamma users. You still use Slurm (e.g sbatch, interactive, ...) to submit your jobs. ThinLinc is available on the login node. Applications will still be selected using "module". All Sigma compute nodes have 32 CPU cores. There is 104 "thin" nodes with 96 GiB of primary memory (RAM) and 4 "fat" nodes with 384 GiB. Each compute node have a local SSD disk where applications can store temporary files (approximately 200GB per node). All Sigma nodes are interconnected with a 100 Gbps Intel Omni-Path network which is also used to connect the existing storage. The Omni-Path network work in a similar way to the FDR Infiniband network in Gamma (e.g still a fat-tree topology). Sigma have a capacity that exceeds the current computing capacity of Gamma. Sigma was made available to users on August 23, 2018.

More information about Sigma @ NSC

Open Rounds

At this moment, you can apply for access to this resource in the following rounds:

LiU Local Compute 2024

Access to Sigma @ NSC for LiU researchers.

See further information.

LiU Local GPU 2024

This round is for GPU resources hosted by NSC for researchers at Linköping University.

Please note that priority will be given to ML/Deep Learning projects as those generally benefits the most of V100 GPU's compared to using regular CPU's.

32 CPU core hours correspond to 4*9=36 GPU core hours.

See further information.

Pending Rounds

You will be apply for access to this resource in the following rounds later:

LiU Local Compute 2025

Access to Sigma @ NSC for LiU researchers.

NSC can currently only approve allocations until 2026-01-01. There is a decision to replace the LiU local computer system Sigma and associated storage with a new local resource and storage for researchers at LiU. The timetable for this, and what the new system will be, is unfortunately unclear at this time. NSC will try to make the transition as smooth as possible for our users. More information will be announced when it becomes available.

This round will open one of the very first days of 2025.

See further information.

LiU Local GPU 2025

This round is for GPU resources hosted by NSC for researchers at Linköping University.

Please note that priority will be given to ML/Deep Learning projects as those generally benefits the most of V100 GPU's compared to using regular CPU's.

NSC can currently only approve allocations until 2026-01-01. There is a decision to replace the LiU local computer system Sigma and associated storage with a new local resource and storage for researchers at LiU. The timetable for this, and what the new system will be, is unfortunately unclear at this time. NSC will try to make the transition as smooth as possible for our users. More information will be announced when it becomes available.

This round will open one of the very first days of 2025.

32 CPU core hours correspond to 4*9=36 GPU core hours.

See further information.