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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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Nooriyah Lohani NeSI

Bridging gaps and building collaborations within NZ research communities

NeSI's new Research Communities Advisor is aiming to connect researchers with digital resources and services that can help advance their projects.
NeSI Case Study David Coppin University of Auckland

Tracking coastal precipitation systems in the tropics

"The new code implemented is much faster and runs more efficient on NeSI platforms, which allows me to concentrate more on my research and less on computer science aspects."
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Annika Seppala NeSI case study climate simulations

Powering global climate simulations

"The fact that NeSI can provide support to things like getting the code to work puts New Zealand in an amazing position worldwide.”
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Andrew Chen NeSI case study image processing

Supporting new innovations in image processing

“Having access to NeSI computing resources means that we can keep up with the state-of-the-art research in this area, otherwise we simply would not be able to run our code in a reasonable time.”
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Scott Lockwood NeSI Case Study University of Otago

Providing global context to the marine methane paradox

“Parsing through this amount of information requires machines with plenty of memory and computing power.”
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Understanding environmental processes on a microbial level

"High performance computing is essential for researchers working with large and complex genomic datasets. "
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Squeezing performance from community code SPECFEM3D

"I appreciate the NeSI staff’s assistance in helping me move to NeSI's Cray XC50 supercomputer and achieving this significant boost in productivity."
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Exploring the rupture process of the Kaikoura earthquake

“Without NeSI’s supercomputer, we cannot run the software with a sufficient resolution for the research problem.”
Pieris brassicae

Predictive models to combat invasive species

“To run a large number of simulations and scenarios, we needed more computational power.”
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Priorities for conservation of NZ’s ecosystems and species

“Ben helped us start to think outside of the limitations of running this analysis on our local machine to considering the possibilities of running hundreds and thousands of iterations."
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