High-performance computing and data analytics application support for the MPG
The MPCDF provides high-level support for the development, optimization, analysis and visualization of high-performance computing (HPC) and data analytics (HPDA) applications to Max-Planck Institutes with high-end computing needs, e.g. in astrophysics, fusion research, materials and bio sciences, polymer research, and theoretical chemistry.
MPG supercomputer Cobra
MPG supercomputer Raven
Based on Intel Xeon IceLake-SP processor 8360Y and Nvidia A100 GPU: 1592 CPU-compute nodes, 114,624 CPU-cores, 457 TB RAM (DDR4), 8.8 PFlop/s theoretical peak performance (FP64), 192 GPU-accelerated nodes providing 768 Nvidia A100 GPUs, 30 TB GPU RAM (HBM2), 16 PFlop/s theoretical peak performance (FP64, including tensor cores and host CPUs). HDR InfiniBand interconnect.
StorageTek tape library
Data archive with research results of Max-Planck scientists. Here: picture of STK SL8500 tape library. Robots on the shelf rows reach each volume keeping the information available around the clock. Further tape libraries in operation from IBM. Data include experiment and simulated data from many science areas, e.g. from life and materials sciences or astro and fusion research, but also treasures of the World Heritage like sound recordings of endangered languages or images of rare frescoes.
National and international projects
The MPCDF, in partnership with different Max Planck Institutes is engaged in several national and international projects and research consortia, such as EU Centers of Excellence, with a focus in high-performance computing, data analytics and data management.
A new issue of the MPCDF computer bulletin Bits&Bytes was released. Read about high-performance computing software news, using Docker containers in the MPCDF GitLab CI environment, GO-Nexus, an enhanced data transfer and sharing service for MPCDF’s ...
The MPCDF has issued a brochure on "High-Performance Computing and Data Science in the Max Planck Society" with examples of science that is currently being supported by the MPCDF services.