Kuiper Belt Object Artist's Concept - Philip Sharp - NeSI Case Study

Using GPUs to expand our understanding of the Solar System

“Put simply, the work would not be possible without HPC. We chose NeSI because its HPC resources are the best in the country.”
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Next level HPC: NeSI user wins access to one of the world’s top supercomputers

“I know I can write to NeSI whenever I need to. They’re incredibly intelligent, incredibly supportive, and the turnaround time on solutions is just wonderful."
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Shedding new light on dark matter

“This was a computationally challenging project and would have been impossible without the serious muscle NeSI provided. The NeSI platform tied together a collaboration between scientists based in New Zealand, Australia, Norway, and the United Kingdom."
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A statistical modelling approach to monitoring ecosystems

“From my perspective, it was extraordinarily beneficial to have access to NeSI as resource, it really transformed what I thought I would be able to do. The field of statistics at the moment is really on the edge and is advancing all the time."
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Aerodynamics modelling paves the way for improved yacht designs

“Without computational resources such as the Pan cluster at NeSI, we would be unable to use accurate, yet computationally demanding, predictive methods such as Large Eddy Simulation."
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Kiwi chemists develop new analysis tool

“Without a doubt, we would not have been able to undertake the development work for this project as quickly or efficiently without the support from NeSI.”
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Preparing New Zealand to adapt to climate change

“The UK Met Office and NIWA have relied on NeSI staff’s deep knowledge of interpolation techniques to assess the strengths and limitations of different earth system data regridding packages.”
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Native forests absorbing more carbon dioxide

“High resolution modelling is essential to be able to use this technique effectively in New Zealand. NeSI support opened the door for us to work with models running at the spatial resolution we need.”
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Turning data points into research insights

“By splitting the computational workload over hundreds of cores, we were able to significantly reduce the amount of time needed to produce these data-rich high-quality models.”
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UC scientists make biomolecular breakthrough

The following article was written by the University of Canterbury Communications Department and published on the University of Canterbury website on 20 September 2016. NeSI supercomputing resources were used to support this research breakthrough.
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