| 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 | 220 | 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 | 141 | 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 | 108 | 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 | 59 | 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 | 51 | 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 | 39 | 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 | 38 | 2018 |
| Template-driven agent-based modeling and simulation with CUDA P Richmond, D Romano GPU Computing Gems Emerald Edition, 313-324, 2011 | 35 | 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 | 35 | 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 | 33 | 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 | 31 | 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 | 26 | 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 | 24 | 2017 |
| Simulating heterogeneous behaviours in complex systems on GPUs MK Chimeh, P Richmond Simulation Modelling Practice and Theory 83, 3-17, 2018 | 23 | 2018 |
| Flame gpu technical report and user guide P Richmond Department of Computer Science Technical Report CS-11-03, 2011 | 23 | 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 | 22 | 2018 |
| Flame gpu: Complex system simulation framework P Richmond, MK Chimeh 2017 International Conference on High Performance Computing & Simulation …, 2017 | 22 | 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 | 21 | 2019 |
| Agent‐based simulator of dynamic flood‐people interactions M Shirvani, G Kesserwani, P Richmond Journal of Flood Risk Management 14 (2), e12695, 2021 | 18 | 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 | 18 | 2011 |
