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"Not only does the simulation work complete quickly now, but I’ve learnt a lot about the HPCs and sophisticated computational tools which will be necessary for future developments."

"This has helped me to scale up my research capabilities not only with this work, but also with future endeavours too."

Jingli Lu needed High Performance Computing (HPC) performance for hyperspectral image analysis. She had some HPC knowledge but when problems occurred, NeSI team members jumped in to help integrate new tools and troubleshoot her experience.

"I am grateful to the NeSI team for assisting with the compilation of the TOUGH+HYDRATE code for this research."

“We don’t know what is going to happen to New Zealand on a local scale with climate change unless we use high-resolution models. It shows you changes on a scale that actually affects you.”

"Nemoflux allows new users, unfamiliar with the specific model grid, to dive into model data and tackle their real world science questions."

"The automated data transfer with scheduling and destination setting functions allowed us to send large data out to multiple depositories, allowing streamlined image analysis."

"The advantage of learning how to create workflows on the NeSI HPC platform, is that we could create reproducible science which enables better collaboration amongst scientists."

“Analysing this type of data is very computationally heavy. Last week I analysed seven new data sets in two days. Now we have additional 3D structured genome data sets from different tissues and cell types. It is amazing.”