University College London (UCL)University College London has an internationally leading reputation in scientific HPC, with active research in many fields of physics, chemistry, materials, biomedicine, geosciences, applied mathematics, and engineering. The UCL Centre for Computational Science (CCS) is concerned with many aspects of theoretical and computational sciences, from chemistry and physics to materials, life and biomedical sciences as well as informatics. It explores these domains through high performance, data intensive, supercomputing and distributed (grid/cloud) computing. The Department of Mathematics has strong HPC competences within the areas of Financial Mathematics, Fluid Dynamics, Medical Modelling and Numerical Analysis.
Particular areas of strength in HPC at UCL:
- Building complex problem solving environments, including ones for clinical decision support.
- Performing computational scientific research using applications ranging from lattice-Boltzmann fluid dynamics simulations (e.g., of blood flow, turbulent fluids, and liquid crystals) to molecular dynamics simulations (e.g., to model drug binding in patients, to model DNA translocation or to model the interactions between clay sheets and oil drilling fluids).
- Developing scalable simulation codes as well as software tools that make production infrastructures easier to access and use. Hereby we aim to develop codes which run efficiently on the largest petascale architectures today as well as the exascale architectures which are expected to emerge in the near future.
- The design and implementation of fast algorithms for wave simulations on parallel architectures. This includes mathematical analysis, algorithmic design and the development of open source software packages for Galerkin boundary element methods and novel nonpolynomial finite element methods for Helmholtz, Maxwell and related problems.
- The use of clustered CPU and GPU architectures for derivatives valuation and portfolio optimisation and the analysis of optimal function evaluation on GPUs, given their different architecture.
- The development of boundary integral equation methods to compute steady and unsteady nonlinear three dimensional waves. New types of gravity capillary waves have been discovered and a study of their stability is in progress.
- Simon Arridge
- Marta Betcke
- Timo Betcke
- David Bowler
- Richard Catlow
- Peter Coveney (node lead)
- Mike Gillan
- Ted Johnson
- Paul Kellam
- Nick Ovenden
- David Price
- Stephen Price
- William Shaw
- Frank Smith
- Jean-Marc Vanden-Broeck
- Angus Silver
- Jonathan Tennyson
- Guo Xiong Wu
MIMS The University of Manchester - School of Mathematics - Oxford Road- Manchester - M13 9PL - UK
For further information contact firstname.lastname@example.org, tel: +44 (0)161 275 5812 or visit http://www.maths.manchester.ac.uk/mims