Training Workshops for Researchers

NeSI is partnering with the University of Auckland, University of Otago, and Scion to deliver three training workshops that build skills in high performance computing, data management, and programm... Read more

Science Coding Conference - Wellington, August 2017

Registration is now open for the 2017 Science Coding Conference to be held in Central Wellington at the Massey University campus.When: Tuesday August 1st - Wednesday August 2nd 2017Where: Tussock V... Read more

Scion and NeSI Software Carpentry Workshop

Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on wor... Read more

University of Otago and NeSI Data Carpentry Workshop

A Data Carpentry workshop teaches the core skills for working with data effectively and reproducibly.When working with data, it’s often difficult to figure out what skills to learn or how to get st... Read more

Introduction to HPC using NeSI @ University of Auckland

This hands-on session is an introduction to High Performance Computing (HPC) using one of the clusters provided by New Zealand eScience Infrastructure. You will learn how to access and use the clus... Read more

Software Carpentry Workshop: Massey University Auckland & NeSI

Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on wor... Read more

2017 Science Coding Conference

Attribution:  The 2017 Science Coding Conference will be held from Tuesday August 1 to Wednesday August 2 at the Massey University Campus in central Wellington.For 2017, we have changed the name fr... Read more

Native forests absorbing more carbon dioxide

“High resolution modelling is essential to be able to use this technique effectively in New Zealand. NeSI support opened the door for us to work with models running at the spatial resolution we need.”
Subject: 
Physics

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.”
Subject: 
Earth Science

March 2017 newsletter

 Issue No. 36March 2017NeSI's national platform procurement planseResearch NZ 2017 | RecapWelcome to our newest team memberCase study: NeSI’s supercomputer helps shed light on future climateCongrat... Read more