Staff in the Applied Mathematics research group share a common interest in the application of analytical and numerical mathematical methods to problems that arise in industrial or engineering contexts. Group members, all of whom work in the School of Computing and Mathematics, made significant contributions to the Electrical and Electronic Engineering, and Mechanical, Aeronautical and Manufacturing Engineering submissions to the 2008 Research Assessment Exercise and 2014 Research Excellence Framework. Current areas of interest include Applied Fluid Dynamics, Materials Science and Applications of Stochastic and Optimisation Algorithms.
The group has an active seminar and talks programme.
- Applied and computational fluid dynamics
- Dynamical systems
- Financial mathematics
- Numerical simulations using High Performance Computing and GPGPUs
- Stochastic algorithms
In addition, the group is home to the recent award (July 2014) of NVIDIA GPU Research Center status. Seven CMS staff and one colleague in Computing carry out research ranging from Particle Physics, Industrial Engineering to Cryptanalysis supported by hardware from NVIDIA. In an interdisciplinary team at the University of Plymouth we bring together the research experience and talents of eight different faculty members to drive forward applied mathematics and GPU computing. The areas of expertise encompass physics, pure mathematics, engineering and industrial mathematics, and statistics. The projects we aim to tackle include study of the mass gap of the Yang-Mills theory, Lattice-Boltzmann methods, Markov Chain Monte Carlo applications, lava flow simulation, cybersecurity and cryptanalysis, all impact generating. We aim to utilise GPU architectures in order to streamline algorithmically intensive codes and take advantage of localisable methods (where large numbers of calculations are performed but with little communication). The team already has publications in the Journal of Supercomputing and the GPU Technology Conference resulting from research using GPUs, and wishes to spread the use of GPU technology in Plymouth in order to take advantage of the step change in computing power. Plymouth also has much experience in the application of HPC from the established supercomputing cluster on campus. In addition, the University of Plymouth is currently a CUDA Teaching Center and is involved with the teaching and dissemination of CUDA inside the university and outside, from undergraduate courses to advanced seminars and research topics for postgraduates and researchers.
Talk Virtual Charge Method for High Precision Wave Tank Simulations, (4.9 MB pptx), by Kurt langfeld