GPU
Graphical Processing Unit (GPU) computing uses the computational power of modern graphic adaptors for computing, i.e. simulation, data processing etc, and is sometimes referred to as General-purpose computing on graphics processing Wikipedia entry for GPGPU.
A GPU can contain several hundred (or more) computational cores on which computation can be carried out in parallel. For some computational problems a speed up of the order of 40-80 over serial execution (on one core) can be achieved with GPU cards in the price range of ~£150. Good problems that translate well to parallel execution on a GPU require a fair amount of computation on relatively little data: data access is slow in comparison to computation. Typical examples include Molecular Dynamics simulations.
This is an area with rapid change in hardware and software and libraries.
The figure shows results of a GPU accelerated Monte-Carlo simulation (credit Marijan Beg ).
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Projects
A Fast Multipole Method for the Bessel potential
Marc Molinari, Simon Cox (Investigators), Neil O'Brien
The fast multipole method (FMM) proposed by Greengard and Rokhlin provides a method by which the O(N-squared) many-body problem can be reduced to O(N) complexity. In this project, a multipole method is developed to calculate the energy of a system of vortices in a high temperature superconductor, where the many-body interactions give rise to rich and complex physics. The method developed here is suitable for systems where the interactions are governed by a Bessel potential rather than the usual logarithmic potentials occurring in gravitational and electrostatic problems. We derive and apply vectorised forms of the Gegenbauer addition formulae in order to achieve the O(N) scaling associated with fast multipole methods.
Meshless Methods for Photonic Crystal Modelling
Kamal Djidjeli, Marc Molinari, Simon Cox (Investigators), Neil O'Brien, Elizabeth Hart
We apply meshless methods to the problems of simulating photonic crystals. The meshless methods utilise compactly-supported radial basis functions (CSRBFs) and offer a promising alternative to the conventional plane-wave expansion method for calculating the band structure of photonic crystals.
MXL Project
Mark Taylor, Junfen Shi (Investigators)
‘MXL’ is short for “Enhanced patient safety by computational Modelling from clinically available X-rays to minimise the risk of overload and instability for optimised function and Longevity”. This is an international EU-funded project which the Bioengineering Sciences Research Group at Southampton is involved in. For more information, visit http://www.m-x-l.eu
Soft x-ray science on a tabletop
Peter Horak, Jeremy Frey, Bill Brocklesby (Investigators), Patrick Anderson
Complex numerical simulations are being performed to aid experimentalists at Southampton realize the next generation of high brightness tabletop sources of coherent soft x-rays.
Sustainable domain-specific software generation tools for extremely parallel particle-based simulations
Chris-Kriton Skylaris (Investigator)
A range of particle based methods (PBM) are currently used to simulate materials in chemistry, engineering, physics and biophysics. The 4 types of PBM considered directly in the proposed are molecular dynamics (MD), the ONETEP quantum mechanics-based program, discrete element modelling (DEM), and smoothed particle hydrodynamics (SPH).
The overall research objective is to develop a sustainable tool that will deliver, in the future, cutting edge research applicable to applications ranging from dam engineering to atomistic drug design.
µ-VIS Computed Tomography Centre
Ian Sinclair, Richard Boardman, Dmitry Grinev, Philipp Thurner, Simon Cox, Jeremy Frey, Mark Spearing, Kenji Takeda (Investigators)
A dedicated centre for computed tomography (CT) at Southampton, providing complete support for 3D imaging science, serving Engineering, Biomedical, Environmental and Archaeological Sciences. The centre encompasses five complementary scanning systems supporting resolutions down to 200nm and imaging volumes in excess of one metre: from a matchstick to a tree trunk, from an ant's wing to a gas turbine blade.
People
Simon CoxProfessor, Engineering Sciences (FEE)
Jeremy FreyProfessor, Chemistry (FNES)
Richard SandbergProfessor, Engineering Sciences (FEE)
Ian SinclairProfessor, Engineering Sciences (FEE)
Mark SpearingProfessor, Engineering Sciences (FEE)
Mark TaylorProfessor, Engineering Sciences (FEE)
Bill BrocklesbyReader, Optoelectronics Research Centre
Peter HorakReader, Optoelectronics Research Centre
Kamal DjidjeliLecturer, Engineering Sciences (FEE)
Gwenael GabardLecturer, Institute of Sound & Vibration Research (FEE)
Ivan MarkovskyLecturer, Electronics and Computer Science (FPAS)
Chris-Kriton SkylarisLecturer, Chemistry (FNES)
Philipp ThurnerLecturer, Engineering Sciences (FEE)
Philip WilliamsonSenior Research Fellow, Biological Sciences (FNES)
Richard BoardmanResearch Fellow, Engineering Sciences (FEE)
Dmitry GrinevResearch Fellow, Engineering Sciences (FEE)
Elizabeth HartResearch Fellow, Engineering Sciences (FEE)
Patrick AndersonPostgraduate Research Student, Optoelectronics Research Centre
Jordi ArranzPostgraduate Research Student, Electronics and Computer Science (FPAS)
Dmitri ChernyshenkoPostgraduate Research Student, Engineering Sciences (FEE)
Alexandra DiemPostgraduate Research Student, Electronics and Computer Science (FPAS)
Tom HebbronPostgraduate Research Student, Electronics and Computer Science (FPAS)
Justin LovegrovePostgraduate Research Student, Mathematics (FSHS)
John MuddlePostgraduate Research Student, Mathematics (FSHS)
Neil O'BrienPostgraduate Research Student, Engineering Sciences (FEE)
Alvaro Ruiz-SerranoPostgraduate Research Student, Chemistry (FNES)
Robin WilsonPostgraduate Research Student, Geography (FSHS)
Matthew HigginsUndergraduate Research Student, Biological Sciences (FNES)
Jessica JonesTechnical Staff, iSolutions
Paul SkippTechnical Staff, Biological Sciences (FNES)
Elena VatagaTechnical Staff, iSolutions
Petrina ButlerAdministrative Staff, Research and Innovation Services
Marc MolinariAlumnus, Engineering Sciences (FEE)
Andrew PennerAlumnus, Mathematics (FSHS)
Kenji TakedaAlumnus, Engineering Sciences (FEE)
Junfen ShiNone, None