Hight Performance and Data-Intensive Computing

The solution of modern scientific problems require efficient modeling techniques, high-performance computing and the ability to extract knowledge from a massive amount of data. In order to address these issues the Center focuses in three major research themes:

  1. designing domain specific languages, tools and workflows which enable scientists to easily model simulation experiments and inspect their results, by hiding most of the complexity associated with the involved computational and programming issues;
  2. working together with other areas to address problems that can benefit from the advanced parallelism extraction techniques and multi-core and GPU architectures;
  3.  identify scientific problems in Physics, Molecular Biology and Chemistry which could be better understood via an algorithmic modeling approach.
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