Fujitsu Laboratories of Europe Limited, United Kingdom
Fujitsu Laboratories of Europe Limited (FLE) carries out groundbreaking research that is closely aligned to the future needs of the business community, focused on making future technologies a reality for today's businesses. FLE aims to shorten the R&D cycle to put cutting edge technologies into customers' hands as quickly as possible, enabling businesses to gain a tangible competitive advantage. Close collaboration with leading academics and experts Europe-wide forms a central element of FLE's approach, ensuring the effective pooling of expertise with other pioneers in any given field of research. FLE also participates in a number of EU research initiatives, bringing together the joint expertise of industry and academia to accelerate the development and use of new technologies on a pan-European basis. The Technical Computing Research Division at FLE consists of more than ten post-doctoral computational scientists with a wide range of expertise in developing applications and libraries for high-performance computing (HPC). Research is focused both on supporting Fujitsu's HPC technology and on developing strategic collaborations with application developers, including involvement in European projects.
FLE led the Computational Tools and Methodologies work package in the FP7 project preDiCT. The main output from the project (which was rated "Excellent" by its EC reviewers) was a cutting-edge software package for in silico simulation of drug cardiac toxicity that is capable of near real-time simulation of a beating heart, making it of great potential value in the pharmaceutical industry. Within preDiCT, researchers at FLE were involved in developing improved numerical algorithms to reduce the computational load of the simulations, rewriting the code and file formats to ensure efficient parallel scaling to several thousand cores and reducing the time-to-solution while retaining a high level of accuracy by implementing adaptive meshing techniques. FLE has also developed a biomolecular simulation technology called Generalised Shadow Hybrid Monte Carlo, which aims to be significantly more efficient than conventional molecular dynamics approaches for simulation of biomolecular systems.
Five recent publications relevant to the project
1) J. Southern, G.J. Gorman, M.D. Piggott, P.E. Farrell, "Parallel Anisotropic Mesh Adaptivity with Dynamic Load Balancing for Cardiac Electrophysiology, Journal of Computational Science, 3, 8-16, 2012.
2) J. Southern, G.J. Gorman, M.D. Piggott, P.E. Farrell, M.O. Bernabeu & J. Pitt-Francis, "Simulating cardiac electrophysiology using anisotropic mesh adaptivity", Journal of Computational Science, 1, 82-88, 2010.
3) R. Bordas, B. Carpentieri, G. Fotia, F. Maggio, R. Nobes, J. Pitt-Francis & J. Southern, "Simulation of cardiac electrophysiology on next-generation high-performance computers", Philosophical Transactions of the Royal Society A, 367, 1951-1969, 2009.
4) E. Akhmatskaya, S. Reich, "GSHMC: An efficient method for molecular simulation", Journal of Computational Physics, 227, 4934-4954, 2009.
5) J. Southern, J. Pitt-Francis, J. Whiteley, D. Stokeley, H. Kobashi, R. Nobes, Y. Kadooka & D. Gavaghan, "Multi-scale computational modelling in biology and physiology", Progress in Biophysics and Molecular Biology, 96, 60-89, 2008.