Community

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

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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Fresh approaches for modelling geothermal systems

A NeSI case study from The Geothermal Institute and GNS Science.
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Quake damage

When getting back to basics is better than fancy new tools

"This is a classic example of the huge advances that are being achieved through our excellent collaboration with NeSI."
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Calum Chamberlain servicing the Solution Ranges seismic site above the Landsborough Valley.

Scouring continuous seismic data for Low-Frequency Earthquakes

"As a PhD student close to completion, the speed-up afforded by the NeSI infrastructure and the ease of migration came at a crucial time. Everything was straightforward and well-documented, and the expertise of the technical team was invaluable.”
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Ground-motion simulations of earthquakes in the North Island of New Zealand

“Without NeSI’s supercomputer, we cannot run our simulations with a sufficient resolution.”
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Amplitude rendered on 3D landscape map

Visualisation of Canterbury earthquake simulations

“The high-performance computing expertise from NeSI staff was critical to seamlessly port, run, and post-process analyses, enabling my team and I to fully understand the technical aspects of this important and complicated problem.” Assoc. Prof. Bradley
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A new spatial model for estimating New Zealand soil carbon

"Using NeSI resources we substantially reduced the compute time of our data analysis from 21 days to less than one day."
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The formation of surface archaeological deposits in arid Australia

"NeSI staff developed customised shell scripts that allowed us to generate thousands of simulated populations in rapid succession on the NeSI cluster."
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Improving New Zealand's weather forecasting ability

A 36 hour forecast by NZCSM takes 130 minutes to complete using 810 processors spread across 13 nodes of FitzRoy
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Modelling ash and gas dispersion for the 2012 eruption of Te Maari at Mount Tongariro

Scientists from NIWA, Massey University and GNS Science work together to test ash and gas dispersion models.
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