HPCC Projects

The projects listed below make extensive use of the powerful multi and parallel processing facilities in the Faculty's HPCC.


You can read more detailed information about the projects by selecting from the 'HPCC Projects' links on the left.

  • Advanced analytical and experimental methods for neutron diffraction studies of materials. (MCT Faculty Materials Group)
  • Dynamical studies of Planetary Habitability, and the formation and evolution of planetary systems. (Science Faculty - Planetary Sciences Group)
  • Investigating the statistics of the configuration of a string advected by a turbulent fluid flow assessing whether it forms a compact, folded conformation like a random walk, or an extended conformation pulled out by large-scale eddies in the flow.
  • Investigating the properties of inverse problems and in particular a brain imaging technique called Magnetoencephalography (MEG).
  • Embolic stroke modelling, optical lattice simulations and electron-phonon interactions.
  • Natural Language processing - processing of large numbers of contexts and n-grams (of which there need to be many lest the data is too sparse), advanced statistical techniques (eg Baysian statistics supported by Markov Chain Monte Carlo methods), advanced machine learning techniques for the induction of probabilistic grammars, and several compute-intensive methods for dimensionality reduction in shallow text representation models (such as LSA).
  • Modeling surfaces of crystalline materials such as metals and semiconductors.
  • Modeling the spin-dependent electronic properties of magnetic multilayers and other nanostructured materials, at the atomic level.
  • Combinatorics - investigating the biembeddability of Steiner triple systems of order 15 in an orientable surface.
  • Carrying out epidemiological studies with large data sets.
  • Investigating the structures of Quasicrystal Tilings, The calculations performed on the cluster help to understand properties of such tilings, by investigating large approximants containing thousands or millions of tiles.

Applications and Environments

Software and processing environments currently supported on the HPCC include:

  • Maple
  • Abacus
  • Intel C
  • MPI
  • SGE