The Computing Services of MPCDF

The Computing Services of MPCDF

The MPCDF provides facilities for high-performance computing (HPC) and data analytics/machine learning (HPDA/ML) , capacity computing (Linux clusters) and remote visualization and supports general-purpose and dedicated systems.

 A list of the major computing systems can be found below. A detailed description and technical documentation can be found at the MPCDF user documentation.

High-Performance Computing

The MPCDF hosts the central HPC resources of the Max Planck Society with a typical renewal cycle of 5 years. Open to scientists affiliated with Max-Planck Institutes which joined the corresponding proposals to the Max Planck Society (test access can be granted on request).

Based on Intel Xeon Cascadelake-AP processors (interim system 2020-2021): 516 compute nodes, 49,536 CPU-cores, 193 TB RAM, 3.5 PFlop/s theoretical peak (FP64), 100 Gb/s Interconnect (HDR 100, nonblocking fabric). The final system (to be deployed in two stages, by May and July 2021) is based on Intel Xeon IceLake-SP processors and Nvidia A100 GPUs.
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)
Based on Intel Xeon Haswell and Broadwell CPUs and Nvidia GPUs (GTX980): 30.688 CPU cores, 128 TB RAM, 1.12 PetaFlop/s peak (FP64), 212 GPUs.

Linux Compute Clusters

The MPCDF hosts dedicated compute clusters for many Max Planck Institutes. Open to scientists affiliated with the Max-Planck Institute(s) owning the resouces.

Dedicated Linux Compute Clusters hosted for several Max Planck Institutes

Further computing infrastructure and services

Compute infrastructure for remote visualization and data analysis

Jupyter notebooks, remote visualization, remote desktops enable convenient web-based access to the HPC systems and selected linux compute clusters
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