Community

"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."

“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.”

"I’m lucky to have access to a cluster like NeSI’s. Without it, I’d be running this model for years, rather than about a month.”

"We contacted NeSI because we were going from trying to assemble 100,000 individual 150 nucleotide base sequences, to trying to assemble 1.4 billion. We were having computational issues with memory, but also time."

"It’s been helpful to have routines optimised through NeSI assistance... it’s easier for students and researchers to put their data into the model, experiment with the governing parameters, and then observe what comes out of it."

“The molecular work associated with this research generates huge amounts of data, and NeSI’s resources provide critical computing infrastructure.”

"Without modern HPC servers, a lot of research today in nanotechnology, physics and science in general just wouldn’t be possible."

“Using NeSI allows us to analyse a larger number of players, in a shorter space of time.”

The LFRic development effort involves international partners from New Zealand, Australia, the United States, Korea, and India.

"It’s a new landscape we can explore with these techniques."