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1. Overview computing services#

The provision of IT and scientific computing related services for MPSD is split between

1.1. High Performance Computing (HPC)#

Researchers at MPSD have access to multiple HPC compute resources, which are hosted at the Max Planck Compute and Data Facility (MPCDF), the GWDG, and at MPSD itself.

  1. Raven (since 2020)

    Based on Intel Xeon IceLake-SP processors and Nvidia A100 GPUs. 1592 CPU compute nodes, 114,624 CPU-cores, 375 TB RAM (DDR4), 7.5 PFlop/s theoretical peak performance (FP64), 192 GPU-accelerated nodes providing 768 Nvidia A100 GPUs, 30 TB GPU RAM (HBM2). Shared MPG resource.

    See Supercomputing services for details.

  2. Cobra (since 2018)

    Based on Intel Xeon Skylake-SP processors and Nvidia GPUs (V100, RTX5000): 3424 compute nodes, 136,960 CPU-cores, 128 Tesla V100-32 GPUs, 240 Quadro RTX 5000 GPUs, 529 TB CPU RAM (DDR4), 7.9 TB GPU RAM HBM2, 11.4 PFlop/s peak (FP64) + 2.64 PFlop/s peak (FP32). Shared MPG resource.

    See Supercomputing services for details.

  3. Ada

    Dedicated GPU-based HPC machine for PKS and MPSD with 72 GPU nodes. Each GPU node hosts 4 A100 GPUs, two Intel Xeon IceLake-SP 8360Y CPUs (72 cores in total) and 1 TB RAM.

    See Ada documentation for details.

  4. MPSD HPC system

    Hardware resources located at MPSD.

To get access to Raven, Cobra and Ada, request an account here. For software on Raven, Cobra and Ada please check the Raven user guide, Cobra user guide and Ada user guide. To use Jupyter notebooks on Cobra and Raven please check https://docs.mpcdf.mpg.de/doc/visualization/index.html .

For software on the MPSD HPC system please refer to Software.

1.2. SSH key-based authentication GWDG#

For many GWDG services, it is required to deposit ssh keys with GWDG (for example archiv, GitLab, HPC):

https://info.gwdg.de/dokuwiki/doku.php?id=de:services:application_services:high_performance_computing:connect_with_ssh

1.3. Training Opportunities#

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