At present, scientific computing represents a key technique for knowledge discovery in many scientific and engineering fields such as Astrophysics, Bioinformatics, Climate Research, or Aeronautical Engineering. Scientific computing deals with the efficient and correct implementation and execution of large-scale scientific simulations that are based on mathematical models on parallel (super-)computer systems. Supercomputers offer a large number of processors coupled with a fast interconnection network to execute such simulations at a significantly larger and/or more accurate scale than would be possible on a single processor.
The Scientific Computing Group (founded in October 2010) has three main goals:
To conduct research in the area of High Performance Computing (HPC) for Evolutionary Biology and the general field of Parallel Computing (continuing the activities of the Exelixis Lab).
To provide parallel computing and computer architecture expertise to all groups of HITS.
To maintain and operate the scientific computing cluster and the IT infrastructure at HITS.
