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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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News from NeSI and around the world for March.

Posted at Tuesday, March 28, 2017 - 15:24

Congratulations are also in order for Professor Richie Poulton of the University of Otago and his team, who have taken the top honour of winning the 2016 Prime Minister’s Science Prize for the... Read more

Posted at Tuesday, March 28, 2017 - 15:03

Congratulations to Professor Brendon Bradley, winner of the 2016 Prime Minister's MacDiarmid Emerging Scientist prize.

Posted at Tuesday, March 28, 2017 - 10:10

Early in 2016 NeSI started preparations to replace both the NIWA IBM P575/POWER6 (FitzRoy) and Auckland IBM iDataPlex x86 (Pan) platforms, selecting a single procurement process with NIWA as the lead... Read more

Posted at Tuesday, March 28, 2017 - 09:29

NeSI's newest team member is Shen Wang. Shen has come on board as an Analyst Programmer based at the University of Auckland.He writes: "I come from a commercial programming background and have over... Read more

Posted at Tuesday, March 21, 2017 - 15:24

Hosted in Queenstown in February by NZGL with cohosts NeSI and REANNZ, eResearch NZ 2017 was a resounding success. 170 attendees came together from the research community around New Zealand and the... Read more

Posted at Tuesday, March 21, 2017 - 14:56

From 24 – 27 October this year the 13th IEEE eScience conference will be held in Auckland. The objective of the eScience Conference is to promote and encourage all aspects of eScience and its... Read more

Posted at Monday, March 20, 2017 - 15:55

UC scientists make biomolecular breakthrough

The following article was written by the University of Canterbury Communications Department and published on the University of Canterbury website on 20 September 2016. NeSI supercomputing resources were used to support this research breakthrough.
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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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