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NAISS Medium Compute 2023

This Round is Open for Proposals

To apply, you must be a scientist in Swedish academia, at least at the level of assistant professor.

This round is open for proposals until 2024-01-01 00:00.

More information about this round is available at https://snic.se/allocations/compute/medium-allocations/.

Deadlines and Decisions

Monthly evaluation of proposals during the year. Proposals submitted at the latest on the 15th will undergo review during the same month. July and December have different schedules. Proposals submitted after June 15 will be processed in August. i.e. with a first possible allocation starting September 1st!

Resources

Resource Centre Upper
Limit		 Available Unit Note
Alvis C3SE 20 000 390 000 GPU-h/month The Alvis resource is dedicated for AI/ML research.
The Alvis resource is dedicated for research in and research using AI/ML techniques. For general use of GPU:s instead use Dardel.

Alvis is a GPU focused cluster dedicated for AI/ML research.

Phase 1 consist of:
  • 1 login node with 4 x Tesla T4 GPU with 16GB RAM, 2 x 16 core Intel Xeon Gold 6226R CPU @ 2.90GHz, 768GB RAM
  • 12 nodes with 2 x Tesla V100 SXM2 GPU with 32GB RAM, 2 x 8 core Intel Xeon Gold 6244 CPU @ 3.60GHz, 768GB RAM
  • 5 nodes with 4 x Tesla V100 SXM2 GPU with 32GB RAM, 2 x 16 core Intel Xeon Gold 6226R CPU @ 2.90GHz, 768GB RAM
  • 20 nodes with 8 x Tesla T4 GPU with 16GB RAM, 2 x 16 core Intel Xeon Gold 6226R CPU @ 2.90GHz, 576GB RAM (1 node with 1536GB)
Phase 2 consist of:
  • 1 data transfer node with 2 x 32 core Intel Xeon Gold 6338 CPU @ 2GHz, 256GB RAM
  • 85 nodes with 4 x Tesla A40 GPU with 48GB RAM, 2 x 32 core Intel Xeon Gold 6338 CPU @ 2GHz, 256GB RAM
  • 56 nodes with 4 x Tesla A100 HGX GPU with 40GB RAM, 2 x 32 core Intel Xeon Gold 6338 CPU @ 2GHz, 256GB RAM
  • 20 nodes with 4 x Tesla A100 HGX GPU with 40GB RAM, 2 x 32 core Intel Xeon Gold 6338 CPU @ 2GHz, 512GB RAM
  • 8 nodes with 4 x Tesla A100 HGX GPU with 80GB RAM, 2 x 32 core Intel Xeon Gold 6338 CPU @ 2GHz, 1024GB RAM
Tetralith NSC 400 14 500 x 1000 core-h/month
Projects will receive a default 500 GiB storage allocation on Centre Storage at NSC. If you need more storage, please apply for a Storage project and decline default storage from this compute proposal.

Tetralith, tetralith.nsc.liu.se, runs a CentOS 7 version of the NSC Cluster Software Environment. Use the workload manager Slurm (e.g sbatch, interactive, ...) to submit your jobs. ThinLinc is available on the login nodes. Applications are selected using "module". All Tetralith compute nodes have 32 CPU cores. There is 1832 "thin" nodes with 96 GiB of primary memory (RAM) and 60 "fat" nodes with 384 GiB. Each compute node have a local SSD disk where applications can store temporary files (approximately 200 GiB per thin node, 900 GiB per fat node). All Tetralith nodes are interconnected with a 100 Gbps Intel Omni-Path network which is also used to connect to the existing storage. There are 170 nodes in Tetralith equipped with one NVIDIA Tesla T4 GPU each as well as an updated, high-performance NVMe SSD scratch disk of 2TB. The nodes are regular Tetralith thin nodes which have been retrofitted with the GPUs and disks, and are accessible to all of Tetralith's users.
Dardel PDC 400 28 500 x 1000 core-h/month
Dardel-GPU PDC 4 000 106 000 GPU-h/month
GPU nodes on Dardel will probably be generally available 2023-01-01, but there is a risk for delays due to server maintenance to accomodate the GPUs. Also, these GPUs are not nVIDIA GPUs but rather AMD GPUs, so if your software runs using CUDA, a certain amount of conversion of the code is needed. You can read information about this at https://www.lumi-supercomputer.eu/preparing-codes-for-lumi-converting-cuda-applications-to-hip/
Rackham UPPMAX 200 3 500 x 1000 core-h/month
Rackham provides 9720 cores in the form of 486 nodes with two 10-core Intel Xeon V4 CPUs each. 4 fat nodes have 1 TB of memory, 32 fat nodes have 256 GB, and the rest have 128 GB. The interconnect is Infiniband.

Click above to show more information about the resource.