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.

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Selected Research

(A complete list of research topics appears here.)

Data Reduction

Techniques for intelligently reduce data volume

Together with the University of Hamburg, ACES aims to reduce data volume below 10% of the original data with no recognizable impact on the scientific quality.

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LFRic and PSyclone

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.

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ESiWACE

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.

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JASMIN

JASMIN

Research for Big Data Systems

Managing and analysing petascale data requires dedicated computing systems with a specialised software environment. ACES will be working on understanding real scientific workflows and how best to deploy such hardware and software infrastructure.

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Container Workflows for HPC

Containerisation shows enormous potential for both simulation and analysis workflows. This project encompasses a range of mini-app tests of the applicability of containers for existing HPC workflows.

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