Within Oxford University there is a very wide range of research using GPUs. In Chemistry, Prof Jonathan Doye is developing novel molecular
dynamics models to simulate important mechanisms in DNA nanotechnology, such as the self-assembly of DNA tiles. In Astrophysics, Dr Aris Karastergiou
and Dr Wes Armour have developed real-time software for the detection of pulsars; this work is in preparation for the future international Square
Kilometre Array project but is already being used on two telescopes in the LOFAR pathfinder project. As a third example, there is research in OeRC,
the Mathematical Institute and the Computer Science department on high-level domain-specific languages and “active libraries” which automatically
generate highly-optimized CUDA code for specific application classes in computational engineering, computational biology and bio-informatics.
Bio-informatics is a particular area with enormous potential for future growth in the use of GPUs, with Oxford's Wellcome Trust Centre in Human Genetics
being a world leader in the analysis and statistical modeling of whole-genome sequence data in population genetics and genetic epidemiology studies.
The CUDA Center of Excellence program recognises, rewards and fosters collaboration with leading institutions at the forefront of parallel
computing research. Oxford University joins a network of 18 elite institutions worldwide that have demonstrated a unique vision for improving
the technology and application of parallel computing, and are empowering academics and scientists to conduct world-changing research.Oxford University
will also use a new GPU cluster, called Emerald, an HP-based system with 372 NVIDIA Tesla GPUs. It is housed at the STFC Rutherford Appleton
Laboratory, and shared between STFC and the universities of the e-Infrastructure South consortium: Oxford, Bristol, Southampton and UCL. Some
computing time will also be made available to users from industry and other universities.
For more information on the Oxford CUDA Center of Excellence visit the NVIDIA CUDA Center of Excellence program page.