The Platform for Scientific Computing (Plattform für
Wissenschaftliches Rechnen) is an interdisciplinary effort of
professors from several disciplines and departments at
the Bonn-Rhein-Sieg University to
foster research and application on High Performance Computing (HPC). Main application areas are:
The existing HPC hardware has several components each suitable for different computational demands.
The main hardware ressources are, with a total of approx. 10,500 hardware threads,
approx. 200,000 GPU-cores, an accumulated main memory size of approx. 23.5 TB,
and an accumulated disk space of approx. 8505 TB (gross):
Nodes are connected with 200 Gb/s Infiniband, 100 Gb/s Omni-Path and/or 1/10Gb-Ethernet.
A detailed description of the hardware configuration can be found here. Some pictures can be found here.
Usage
The front-end node is the only external visible access point and
can be accessed through wr0.wr.inf.h-brs.de
The nodes can be used with parallel programs that are either
based on a shared memory programming model (e.g. OpenMP) using up to 256-way
parallelism, based on a GPU programming model (CUDA, OpenCL, OpenACC) using up to
approx. 30,000 GPU cores in a system, or the cluster computer can be used
in a distributed memory model (e.g. MPI) using all cluster nodes with up to
approx. 10,000-way parallelism.
A detailled descriptions on how to use the cluster and information
on the software configuration can be found here .
Current Status
The current system status can be seen here. Pages get updated every minute.
Access is granted for research and educational projects supervised by
a professor of Bonn-Rhein-Sieg University.
Please feel free to ask questions. Contact person is Prof. Dr. Rudolf Berrendorf .
Funding
The Platform for Scientific Computing is/was supported by research grants:
German Ministry for Education and Research (research grant 13FH156IN6)
Ministry for Culture and Science of the state
Nordrhein-Westfalen (research grant 13FH156IN6)
Ministry for Innovation, Science, Research, and Technology of the state
Nordrhein-Westfalen (research grant FH-Basis 2012)
Ministry for Innovation, Science, Research, and Technology of the state
Nordrhein-Westfalen (research grant GER08-16)
German Ministry for Education and Research (research grant 01AK605F)