Paul Richmond
Paul Richmond
Professor of Research Software Engineering, Department of Computer Science, University of Sheffield
Verified email at - Homepage
Cited by
Cited by
High performance cellular level agent-based simulation with FLAME for the GPU
P Richmond, D Walker, S Coakley, D Romano
Briefings in bioinformatics 11 (3), 334-347, 2010
FLAME: simulating large populations of agents on parallel hardware architectures
M Kiran, P Richmond, M Holcombe, LS Chin, D Worth, C Greenough
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
A high performance agent based modelling framework on graphics card hardware with CUDA
P Richmond, S Coakley, DM Romano
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
Agent based gpu, a real-time 3d simulation and interactive visualisation framework for massive agent based modelling on the gpu
P Richmond, D Romano
Proceedings International Workshop on Supervisualisation, 2008
Agent-based Large Scale Simulation of Pedestrians With Adaptive Realistic Navigation Vector Fields.
T Karmakharm, P Richmond, DM Romano
TPCG 10, 67-74, 2010
Cellular level agent based modelling on the graphics processing unit
P Richmond, S Coakley, D Romano
2009 international workshop on high performance computational systems …, 2009
Code generation in computational neuroscience: a review of tools and techniques
I Blundell, R Brette, TA Cleland, TG Close, D Coca, AP Davison, ...
Frontiers in neuroinformatics 12, 68, 2018
Template-driven agent-based modeling and simulation with CUDA
P Richmond, D Romano
GPU Computing Gems Emerald Edition, 313-324, 2011
A high performance framework for agent based pedestrian dynamics on gpu hardware
P Richmond, DM Romano
Proceedings of EUROSIS ESM 20, 27-29, 2008
PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers
L Martí-Bonmatí, Á Alberich-Bayarri, R Ladenstein, I Blanquer, ...
European radiology experimental 4 (1), 1-11, 2020
From model specification to simulation of biologically constrained networks of spiking neurons
P Richmond, A Cope, K Gurney, DJ Allerton
Neuroinformatics 12, 307-323, 2014
Data-parallel agent-based microscopic road network simulation using graphics processing units
P Heywood, S Maddock, J Casas, D Garcia, M Brackstone, P Richmond
Simulation Modelling Practice and Theory 83, 188-200, 2018
Spinecreator: a graphical user interface for the creation of layered neural models
AJ Cope, P Richmond, SS James, K Gurney, DJ Allerton
Neuroinformatics 15, 25-40, 2017
Simulating heterogeneous behaviours in complex systems on GPUs
MK Chimeh, P Richmond
Simulation Modelling Practice and Theory 83, 3-17, 2018
Flame gpu technical report and user guide
P Richmond
Department of Computer Science Technical Report CS-11-03, 2011
OpenABL: a domain-specific language for parallel and distributed agent-based simulations
B Cosenza, N Popov, B Juurlink, P Richmond, MK Chimeh, C Spagnuolo, ...
Euro-Par 2018: Parallel Processing: 24th International Conference on …, 2018
Flame gpu: Complex system simulation framework
P Richmond, MK Chimeh
2017 International Conference on High Performance Computing & Simulation …, 2017
Parallelisation strategies for agent based simulation of immune systems
M Kabiri Chimeh, P Heywood, M Pennisi, F Pappalardo, P Richmond
BMC bioinformatics 20, 1-14, 2019
Agent‐based simulator of dynamic flood‐people interactions
M Shirvani, G Kesserwani, P Richmond
Journal of Flood Risk Management 14 (2), e12695, 2021
Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations
P Richmond, L Buesing, M Giugliano, E Vasilaki
PLoS one 6 (5), e18539, 2011
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