Stephen works in the Computational Engineering and Environment group and is based at Daresbury Laboratory in Warrington.
He is a computer scientist that has a keen interest in computer based modelling, especially computational fluid dynamics (CFD) using particle based methods such as smoothed particle hydrodynamics (SPH). He also has a keen interest in understanding and utilising novel and emerging computing hardware as well as how best to disseminate science to the public. More recently he has become involved in scientific code coupling for general multi-physics and multi-scale problems.
He leads the UK Fluids Network SPH Special Interest Group and is part of the organising committee for the EMiT: Emerging Technology conference series, he is also a named developer of the GPU and OpenMP enabled SPH research code DualSPHysics.
His key research topics are:
- Computational fluid dynamics
- Meshless methods like SPH
- Coupled multi-physics and multi-scale simulation
- Utilising low power and highly-parallel architectures like the Intel Xeon Phi or GPUs
- S.M. Longshaw, A. Skillen, C. Moulinec, D.R. Emerson (2017) Code Coupling At Scale: Towards The Digital Product. In book: Advances in Parallel, Distributed, Grid and Cloud Computing for Engineering, Edition: 40, Chapter: 5, Publisher: Saxe-Coburg Publications, Editors: P. Iványi, B.H.V. Topping, G. Várady.
- S.M. Longshaw, B.D. Rogers (2015) Automotive fuel cell sloshing under temporally and spatially varying high acceleration using GPU-based Smoothed Particle Hydrodynamics (SPH), Advances in Engineering Software, Volume 83, pp. 31-44, https://doi.org/10.1016/j.advengsoft.2015.01.008.
A.J.C. Crespo, J.M. Domínguez, B.D. Rogers, M. Gómez-Gesteira, S.M. Longshaw, R. Canelas, R. Vacondio, A. Barreiro, O. García-Feal (2015), DualSPHysics: Open-source parallel CFD solver based on Smoothed Particle Hydrodynamics (SPH)
, In Computer Physics Communications, Volume 187, Pages 204-216, https://doi.org/10.1016/j.cpc.2014.10.004