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

Overcoming data processing overload in scientific web mapping software

"To create the map caches for one of our tools would take about a month of continuous processing."
NeSI HPC platform

Empowering students through HPC skills

"With HPC and molecular dynamics software, it’s a lot faster and more user-friendly, both factors that will continue to be more valuable to labs in the future."

Visualising ripple effects in riverbed sediment transport

“NeSI staff provided critical help at a critical time."
NeSI Case Study Joseph Lane University of Waikato

Preparing students for 21st Century research

“I think that was quite helpful for students in that they were learning transferable skills that weren’t just around HPC and the data space, but were skills they could offer a PhD group."
NeSI Case Study Anna Garden University of Otago

Understanding the structure of gold and platinum nanoclusters

"These calculations create a large number of files; NeSI was able to store these files and help us navigate them."
NeSI Case Study Celine Cattoen Gilbert NIWA river forecast

New Zealand’s first national river flow forecasting system for flooding resilience

"Without NeSI’s input, we would have been much more limited. We wouldn’t have been able to develop a national-scale system running in real-time."
NeSI Genomics Aotearoa Metagenomics Summer School

A partnership approach to building skills in New Zealand's genomics research sector

Together, NeSI and Genomics Aotearoa have the domain knowledge, technical skills, and motivation to address the skills gap facing New Zealand’s genomics and bioinformatics sector.
NeSI Case Study Cyprien Bosserelle NIWA

A fast model for predicting floods and storm damage

"Rendering this grid in the traditional way is not trivial – it would take longer to render the result than run the model each time I wanted to find errors. I approached NeSI and we started talking about visualisation."
NeSI Case Study Yoshihiro Kaneko GNS Science Hikurangi

How multithreading and vectorisation can speed up seismic simulations by 40%

GNS Science researchers are producing detailed images of the 3D structure and geometry of the Hikurangi mega-thrust region using a technique called seismic tomography.
NeSI case study Giacomo Giorli NIWA

Machine learning for marine mammals

“By understanding the abundance and distribution of different marine mammals in New Zealand, we can inform conservation policy, management of marine resources, licensing for offshore activity and create better environmental impact assessments.”