Gavin J. Pringle
Gavin J. Pringle
Applications Consultant, EPCC, University of Edinburgh
Verified email at - Homepage
Cited by
Cited by
AIKEF: Adaptive hybrid model for space plasma simulations
J Müller, S Simon, U Motschmann, J Schüle, KH Glassmeier, GJ Pringle
Computer Physics Communications 182 (4), 946-966, 2011
FireGrid: An e-infrastructure for next-generation emergency response support
L Han, S Potter, G Beckett, G Pringle, S Welch, SH Koo, G Wickler, ...
Journal of Parallel and Distributed Computing 70 (11), 1128-1141, 2010
Origin of Mercury’s double magnetopause: 3D hybrid simulation study with AIKEF
J Müller, S Simon, YC Wang, U Motschmann, D Heyner, J Schüle, WH Ip, ...
Icarus 218 (1), 666-687, 2012
Numerical study of three-dimensional flow using fast parallel particle algorithms
GJ Pringle
Napier University of Edinburgh, 1994
An architecture for an integrated fire emergency response system for the built environment
R Upadhyay, G Pringle, G Beckett, S Potter, L Han, S Welch, A Usmani, ...
The International Assocation of Fire Safety Science (IAFSS), 2008
Magnetic field fossilization and tail reconfiguration in Titan's plasma environment during a magnetopause passage: 3D adaptive hybrid code simulations
J Mueller, S Simon, U Motschmann, KH Glassmeier, J Saur, J Schuele, ...
Planetary and Space Science 58 (12), 1526-1546, 2010
Hydra-mpi: An adaptive particle-particle, particle-mesh code for conducting cosmological simulations on mpp architectures
RJ Thacker, G Pringle, HMP Couchman, S Booth
High Performance Computing Systems and Applications, 23, 2003
DEISA: Extreme Computing in an Advanced Supercomputing Environment.
H Lederer, GJ Pringle, D Girou, MA Hermanns, G Erbacci
PARCO, 687-688, 2007
Porting OpenFOAM to HECToR: A dCSE Project
GJ Pringle
EPCC, The University of Edinburgh, Report, 2010
Parallel performance for a real time Lattice Boltzmann code
MA Woodgate, GN Barakos, R Steijl, GJ Pringle
Computers & Fluids 173, 237-258, 2018
Using simulation for decision support: lessons learned from FireGrid
G Wickler, G Beckett, L Han, SH Koo, S Potter, G Pringle, A Tate
The Information Systems for Crisis Response and Management (ISCRAM) Community, 2009
Terascale materials modelling on high performance system HPCx
M Plummer, J Hein, MF Guest, KJ d'Mellow, IJ Bush, K Refson, GJ Pringle, ...
Journal of Materials Chemistry 16 (20), 1885-1893, 2006
Porting OpenFOAM to HECToR
G Pringle
The University of Edinburgh, EPCC, 2010
DEISA: e-Science in a collaborative, secure, interoperable and user-friendly environment
W Gentzsch, A Kennedy, H Lederer, G Pringle, J Reetz, M Riedel, ...
eChallenges e-2010 Conference, 1-10, 2010
Code Migration within DEISA
GJ Pringle, O Bournas, E Breitmoser, TM Sloan, A Trew
Proceedings of ISC'07, 2007
The PGPGrid Project: Wide Area Rendering Environment
A Anjomshoaa, K Kavoussanakis, G Pringle
Proc. All Hands 2004 Conference, 2022
Submission Scripts for Scientific Simulations on DEISA.
GJ Pringle, TM Sloan, E Breitmoser, O Bournas, AS Trew
PARCO, 705-711, 2007
Scalable eigensolvers on hpcx: Case studies
I Bush, A Sunderland, GJ Pringle
Technical Report 510, HPCx consortium, 2005, http://www. hpcx. ac. uk …, 2005
Coupled atomistic–continuum simulations of nucleate boiling
G Gennari, ER Smith, GJ Pringle, M Magnini
International Journal of Thermal Sciences 200, 108954, 2024
Computational Biomedicine (CompBioMed) Centre of Excellence: Selected Key Achievements
GJ Pringle
High Performance Computing for Drug Discovery and Biomedicine, 31-49, 2023
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