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NVIDIA Application Lab at Jülich

NVIDIA Application Lab at Jülich

The NVIDIA Application Lab at Jülich is jointly operated by Jülich Supercomputing Centre (JSC) and NVIDIA since July 2012. The main focus of this exascale lab is to

  • Enable scientific applications for GPU-based architectures
  • Provide support for their optimization
  • Investigate performance and scaling

A broad application portfolio encompassing computational neuroscience, high-energy physics, radio astronomy, data analytics and others has been established.

Other topics of the lab:

  • Parallelisation of applications on multiple GPUs
  • Application requirements analysis
  • Kepler and CUDA feature analysis
  • Training in GPU programming and optimization

Contact: Dirk Pleiter


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Presentations and News





  • A. Adinetz et al., "Triplet Finder: On the Way to Triggerless Online Reconstruction with GPUs for the PANDA Experiment", Proceedings International Conference on Computational Science 2014.
  • J. Kraus et al., "Benchmarking GPUs with a parallel Lattice-Boltzmann code", Proceedings 25th International Symposium on Computer Architecture and High Performance Computing 2013.
  • A. Adinetz et al., "Computation of Mutual Information Metric for Image Registration on Multiple GPUs", Proceedings Heteropar 2013.
  • A. Adinetz et al., "GPUMAFIA: Efficient Subspace Clustering with MAFIA on GPUs" Proceedings Euro-Par 2013.
  • A. Adinetz et al., "NVIDIA Application Lab at Jülich" inSiDE, Vol. 11, No. 1 (2013).