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Welcome to the Group for Software Science of the Department of Scientific Computing


We focus on research in programming paradigms, languages, compilers and software infrastructures for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms.
Luna Multi-Core Cluster
Luna Multi-Core Cluster
(see project HiPro)

ADMIRE Project @neurIST Project
Projects: ADMIRE and @neurIST
(more projects...)


Parallel Computing
  • Programming paradigms and languages
  • Compilers and runtime systems
  • Parallelization and optimization strategies

Grid Computing
  • Grid programming models and architectures
  • Grid application development environments
  • Grid data mining and data integration

Scientific Applications
  • Physics, Chemistry, Engineering
  • Finance, Economics
  • Medicine, Life Sciences


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