Members of the High-Performance and Scientific Computing Group (HPSC) at the department of Computer Science has won a best paper award at the 28th IEEE International Conference on High-Performance Computing, Data and Analytics held on the 17th-18th of December. The winning paper titled Predictive Analysis of Large-Scale Coupled CFD Simulations with the CPX Mini-App, develops a novel representative (mini-)application, specifically designed to model coupled execution of multi-physics numerical simulation codes from the CFD domain. The mini-coupler, CPX, is the first of its kind, combining multiple CFD mini-app instances to predict the run-time and scaling behaviour of large scale coupled CFD simulations, on modern multi-core and many-core clusters such as used for production turbomachinery design at Rolls-Royce plc. The work was carried out by PhD candidate, Archie Powell, in collaboration with Kabir Choudry, Arun Prabhakar, and Gihan Mudalige at the Department of CS Warwick, Dario Amirante (University of Surrey), Istvan Reguly (PPCU) and Stephen Jarvis (University of Birmingham).

The work was funded by the EPSRC Prosperity Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems (AsiMoV) and Rolls-Royce plc.

Dr. Gihan Mudalige at the University of Warwick’s Department of Computer Science have been awarded an Engineering and Physical Sciences Research Council (EPSRC) ExCALIBUR research grant as part of a consortium of researchers including the Science and Technologies Facilities Council (STFC), universities of Warwick, Newcastle, Cambridge, Southampton and led by Imperial College London.

This 3 year, £2.6M project brings together communities from the UK Turbulence Consortium (UKTC) and the UK Consortium on Turbulent Reacting Flows (UKCRF) to ensure a smooth transition to exascale computing, with the aim to develop transformative techniques for advancing their production simulation software ecosystems dedicated to the study of turbulent flows. It is part of the ExCALIBUR (Exascale Computing ALgorithms and Infrastructures Benefiting UK Research) programme, aimed at delivering the next generation of high-performance simulation software for the highest-priority fields in UK research.

A team of TIA researchers have published their study on a new deep learning algorithm that can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from targeted therapies with quicker turnaround times and at a lower cost. The research was funded by the UK Medical Research Council (MRC) and conducted in collaboration with colleagues at the UHCW NHS Trust, University of Nottingham and WHO IARC. The study has just been published in the prestigious Lancet Digital Health journal.