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NeSI provides a range of services, people, expertise, and information to help computational research projects become reality

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picture of dry crops

HPC-powered modelling shows heat, animal illness and drought risks could affect NZ agriculture with changing climate

"The new maps are a powerful step forward in understanding and displaying the effects of climate change for the primary sector in New Zealand."
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image of a rocket launch

Powering innovative solutions for spacecraft guidance and space situational awareness

"We are already reaping the benefits, with Alberto Fossà (UT Austin) developing advanced algorithms using it."
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A visualisation of the climate model being run.

Enabling portability of a climate code through containerisation

"This project gave me the opportunity to become much more familiar with the infrastructure and software underlying the model, which will be valuable experience for the future."
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Picture of water drops hitting the surface of a lake.

Plugging memory leaks in a hydrology code

"We are very grateful to the NeSI team for helping me locate and fix memory leak issues and a performance bottleneck in TopNet."
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A visualisation of tragectories.

Optimising simulations to improve electronic materials design

"With their support, managing data generation using a Cylc-based approach has been both swift and seamless."
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Stock image of light patterns.

Simulating quantum systems

"By investigating our code and optimising the libraries that we were using, the NeSI consultants sped up components of our code by a factor of 20."
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A picture of someone sitting in a cave in French Polynesia.

Understanding future climate change through the lens of past climates

"The support received from NeSI significantly contributed to our research capabilities and productivity."
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Figure: Surface air temperature (deg. K) modelled in the Ross Sea region of Antarctica

Building software solutions for studying air–ice–ocean interactions

"We are very grateful to the NeSI team for helping us to automatically build our coupled model in a container, allowing us to be resilient and circumvent any platform changes/updates."
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Results from ML-based exploration of optical rotation prediction, with the identification of influential dihedral angles highlighted in the molecular structure on the right.

Applying machine learning to uncover molecular property insights

"I appreciate their methodical approach and the computational tools they were able to introduce to the project, which were essential in enabling the research."
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View of the Earth from space, with a binary grid overlaid. Image by Yassay, Pixabay.

Improving the vector field representation in next generation climate simulations

"The benefits are of particular relevance to the regridding of atmospheric data on the globe."
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