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"This work is the first phase of the SEAPODYM parallelization project, and given the very encouraging results and perspectives, I will be looking forward to continuing our collaboration."
"Alex and his team quickly pointed out optimisations that could be done to enhance the code further. The result is a more robust codebase that runs faster than before."
When new A100 GPU resources were brought online at NeSI, it raised an interesting question for Gilles Bellon: Would offloading computations onto GPUs further improve the performance of his code?
"Building a scientific model/theory to solve complex real world problems is one thing but scaling it up to solve the problems in a timely manner and utilizing all the modern computational resources is another."
Using NeSI allowed us to take the approach of gathering lots of data, then train and test it remotely as opposed to trying to do it all on a local machine."
