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Winner of the Faculty of Science, Engineering and Medicine Post-Doctoral Research Prize 2022

Gunduz Vehbi Demirci has been awarded with the Faculty of Science, Engineering and Medicine Post-Doctoral Research Prize 2022 for his paper jointly with Prof. Hakan Ferhatosmanoglu, "Partitioning sparse deep neural networks for scalable training and inference", published in the Proceedings of the ACM International Conference on Supercomputing (ICS '21) (DOI:

Training large-scale deep learning models is notoriously difficult. Gunduz develops a highly parallel solution to scale training of sparse deep learning models, which is combined with a novel combinatorial optimisation built on a hypergraph partitioning model, reducing parallelisation overheads and achieving computational balance among processors. An end-to-end software solution is released, enabling competing with big tech companies that have access to large infrastructures and datasets.

The work is summarised in a paper accepted by the 2021 ACM International Conference on Supercomputing, which is a premier conference in high-end systems. The research output will have a great potential to bring significant practical impact in long term as developing such comprehensive solutions takes time and is typically achieved only within large groups.

Mon 09 May 2022, 09:08 | Tags: Research Data Science Systems and Security

Best Paper Award at AISTATS 2022

Congratulations to Harita Dellaporta for receiving the Best Paper Award at the premier conference in Artificial Intelligence and Statistics (AISTATS) 2022 for her paper on Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap.

Best Paper Award at HIPC

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.

ExCALIBUR Funding for Exascale Application Development

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.

New Professor in the Department

Theo DamoulasWe are happy to announce that Dr Theo Damoulas has been promoted to Professor, effective from 1 August 2021. Quoting from Theo's recommendation,

Since his appointment to Warwick in 2015, Dr Damoulas has steadily and speedily risen to one of the most successful researchers in his two departments of Computer Science and Statistics. ... An impressive characteristic of Dr Damoulas’s expertise is his bridging of fundamentals and applications in these fields, and his ability to collaborate intensively over a wide area spanning several Warwick departments, several groups at the Turing, government bodies and industrial partners. ... Dr Damoulas has been one of the most energetic and most appreciated teachers in the department. ... The teaching achievements of Dr Damoulas extend also beyond Warwick, including his work with NYPD, his mentorships within the Turing PhD enrichment scheme, and his PhD external examining work.

it remains to say many congratulations!

Tue 13 Jul 2021, 15:18 | Tags: People Highlight Data Science Systems and Security

Dr Josiah Lutton and Dr Pavel Veselý Named Joint Winners of a SEM Faculty Post Doctoral Prize

We are delighted to report that Dr Josiah Lutton and Dr Pavel Veselý, Research Fellows from the Department of Computer Science, have been named joint winners of a SEM Faculty Post Doctoral Prize.

Each year, the University of Warwick's Faculty of Science, Engineering and Medicine (SEM) funds a prize for the best Warwick-affiliated research output from an Early Career Researcher. Each department nominates a winner, or joint winners, out of the applications received after a judging process as determined by the Faculty.

Professor Yulan He, who led the Department's selection, commented:

Pavel's paper on quantile summary, co-authored with Professor Graham Cormode, was published in a top-tier conference on theoretical databases, Symposium on Principles of Database Systems (PODS) co-located with SIGMOD. The tight lower bound for quantile summaries proposed in this work is a deep theoretical exploration central to data management. The work led to a collaboration with Splunk, a US-based company that focuses on processing machine-generated big data. The follow-up paper has been accepted to the 2021 edition of the PODS conference. The result has a great potential for a broader impact. Josiah's work is on medical imaging. Together with Dr Sharon Collier and Professor Till Bretschneider, they proposed an enhanced 3D segmentation method (with a curvature-based enhancement term), which outperforms the best-of-breed random walker method in Dictyostelium image volumes. The work was published in a top journal, IEEE Transactions on Medical Imaging, with an impact factor of 6.68. Josiah presented his method at the Actin 2020 meeting and was awarded a prize for best imaging in a talk by the Royal Microscopical Society and has been featured in an article in their inFocus magazine.

WATE Win for Dr Matthew Leeke

We are pleased to report that Dr Matthew Leeke, Reader at the Department of Computer Science, has been recognised as part of the Warwick Awards for Teaching Excellence (WATE) 2020-21. WATE seeks to recognise outstanding teaching and support of learning across the University. This year the awards celebrated stories of everyday excellence in challenging times, and worked to plant the seeds for future approaches to teaching and learning.

Dr Matthew Leeke said regarding his award:

I'm hugely grateful to our students for the nomination. I feel fortunate to be recognised but even more fortunate to work with such talented and thoughtful people. I'd also like to thank my colleagues for their support. So much of what we do in academia goes unseen, making it important to remember that any success is always a team effort. The module tutors I worked with this year are a great example. Archie, Kabir and Vasan went well above-and-beyond in exceptionally difficult circumstances. It's the work of postgraduate students like them and our support teams that make any kind of recognition possible.

Mon 21 Jun 2021, 09:24 | Tags: People Data Science Systems and Security

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