The Advanced Computing for Environmental Science (ACES) research group conducts cutting-edge research in computer science to accelerate environmental science.
ACES is based in the Computer Science Department at the University of Reading.
News
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October 11, 2022
After a quiet period, a lot happened over the summer. Todd Jones has taken up a lectureship in our department and will be a core member of the ACES activity. Over the same period Daniel Galea finished his Ph.D and has moved to a post-doctoral position in Lawrence Livermore Lab in the U.S. We’ll share more about Todd’s interests and Daniel’s new job soon.
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September 27, 2021
Bryan gave gave a presentation at “ESiWACE2 2021 General Assembly” (Gotomeeting). The talk, “WP4 Data at Scale” is available on Bryan’s personal website.
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September 20, 2021
Bryan gave gave a presentation at “19th Workshop on high performance computing in meteorology” (Zoom). The talk, “Digital Twin Thinking for HPC in Weather and Climate” is available on Bryan’s personal website.
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September 03, 2021
Bryan gave gave a presentation at “ESCAPE-2 Final Dissemination Workshop” (Zoom). The talk, “ExCALIBUR for ESCAPE” is available on Bryan’s personal website.
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September 02, 2021
Bryan gave gave 2 presentations at “Benchmarking for ExCALIBUR Update” (Zoom). The talks “From ESiWACE to ExCALIDATA” and “An Introduction to ExCALIDATA” are available on Bryan’s personal website.
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December 02, 2020
Chris gave an invited presentation titled Automatic Generation of OpenMP for Weather and Climate Applications at the virtual 3rd OpenMP developers and users conference. He also took part in a panel discussion on Key challenges facing OpenMP and HPC developers.
Selected Research
(A complete list of research topics appears here.)
LFRic and PSyclone
Domain Specific Language and Compiler for Weather and Climate.
Splitting science code from the nitty gritty details of exploiting parallelism on specific computer architectures using DSLs for weather and climate : PSyclone and the new LFRic Weather and Climate Model.
JASMIN
Research for Big Data Systems
Managing and analysing petascale data requires dedicated computing systems with a specialised software environment. We have provided leadership in the development of JASMIN as well as investigating real scientific workflows, developing infrastructure software, and understanding how best to deploy the necessary hardware and software infrastructure.
ExCALIDATA
Workflow and Data systems for the exascale era
Two projects addressing a) optimal use of storage by developing new storage interfaces which hide storage complexity, and b) minimising data movement within simulations and in analysis workflows.
Data Reduction
Techniques for intelligently reduce data volume
Volumes of data being generated by simulations and next generation observation platforms are huge, but not all the data being produced needs to be stored as is. We are investigating techniques to identify data that does not need to be stored (and conversely identify data that is important), and to compress data when it does need to be stored.
ESiWACE
The European Centre for Excellence in Weather and Climate Computing
ACES involvement in ESIWACE includes developing new I/O sub-systems capable of handling pre-exascale data flows both at simulation time, and in the analysis environment.
