Bielefeld Center for Data Science

The DataLab HPC and advanced simulation pools researchers from different faculties with computation intensive research topics. In doing so, the DataLab heavily profits from the long-term experience in GPU-based high performance computing (HPC) that has beem accumulated over year of computation-intensive research in the faculty for physics.

Currently the DataLab spans topics from high-energy simulations in particle physics over large-scale decision support problems in business administration and economics to cutting-edge cancer-research. The DataLab assembles a team of researchers around the common infra-structure of a GPU-based high performance computing cluster inaugurated at Bielefeld University in May 2019. This allows all researches at Bielefeld University access to HPC resources.

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Main focus

Parallel computing

GPU programming

Numerical simulations

Machine learning

Data analysis

Main focus

Stochastic modelling and statistical inference

Applications from biomedicine and environmental and social sciences

Main focus

Lattice Field Theory

Computational Physics

Parallel and GPU computing

HPC and GPU Clusters

Data Analysis
 

Main focus

Lattice Field Theory

Computational Physics

Parallel and GPU computing

HPC and GPU Clusters

Data Analysis
 

Main focus

Non-equilibrium dynamics

Parallel computing

Data analysis
 

Main focus

Integrating Machine Learning and Optimization

Large-scale Container Logistics