LiU Local GPU 2023


This round has been closed as all proposals have been handled.

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.

See further information.


Resource Centre Total
Available Unit Note
Sigma NSC 23 52 x 1000 core-h/month 32 CPU core hours correspond to 4*9=36 GPU core hours.
CPU core hours corresponding to the same part of a node as the GPU cores used. I.e. a full node, 32 CPU cores correspond to 4*9=36 GPU cores.

Sigma,, 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.

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