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"Prompt responses from the NeSI team to our requests helped us solve our problems in a few minutes, which in turn allowed us to focus on scientific research rather than on dealing with technical issues."

"Our algorithm is designed to take advantage of parallelism. Running the algorithm on many parallel nodes would have been impossible without the NeSI cluster.”

“We were able to calculate radial velocities for all our 50,000 observations within about a week – a task that would have otherwise taken several months of computational time.”

Victor Canela is using NeSI to help answer the question: how do we get from A to B, when we don’t even know where B is?

Through an extensive series of computational simulations and analysis on NeSI’s Pan and Foster systems, Dr Krista G. Steenbergen and Dr Nicola Gaston have recently unlocked the secret to greater- than-bulk melting of gallium nanoclusters.

Several sessions brought together thought and practice from national data services and infrastructures, of particular relevance to the formative National Research Data Programme in New Zealand.

NeSI’s training programme lead, Sung Bae, notes “It was overwhelming to witness all 40 seats fully booked within six hours. We noted a strong demand from the humanities and social sciences.”

"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.”

“Without NeSI’s supercomputer, we cannot run our simulations with a sufficient resolution.”