Three new team members for NeSI

Here at NeSI we are pleased to welcome three new members – Daniel Lagrava, Alexander Pletzer and Chris Scott – to our national team. Attribution: Daniel Lagrava, who joined NeSI this month, is base... Read more

HPEC 2016: Call for papers

Attribution: The 2016 IEEE High Performance Extreme Computing Conference, known as HPEC 2016, is the premiere conference in the world on the convergence of High Performance and Embedded Computing.... Read more

International Open Data Conference 2016

The 4th International Open Data Conference, IODC16, will be held this year in Madrid from October 6 to 7. All the open data community is invited to contribute to the agenda and develop the outcomes... Read more

February newsletter

 Issue No. 26February 2016eResearch NZ 2016Twenty new Software Carpentry Instructors are ready to go!ResBaz takes New Zealand by stormValentine's Day earthquake for ChristchurchCase Study: Quantum ... Read more

Software Carpentry Instructor Training hits New Zealand

NeSI is pleased to announce the team participating in Software Carpentry Instructor Training at the University of Auckland on the 28th and 29th of January.To join the ten Instructors in our current... Read more

Still time to register for eResearch NZ 2016

Attribution:  Our national meeting for discussion of eResearch issues and opportunities, eResearch NZ 2016, will be held in Queenstown, from 9 – 11 February. These events celebrate how New Zealand ... Read more

An illustration of a binary star system.

The evolution of single and binary stars

"Today on NeSI’s Pan cluster, a highly detailed model can define a star's entire evolution in about five minutes."
Subject: 
Physics
Ultra cold gases

The theory of ultra-cold atomic gases

“By using NeSI's resources we were able to simultaneously use almost a thousand cores, which enabled us to complete the work in a fraction of the time it would've taken using only local resources.”
Subject: 
Physics
Dairy cow

Decoding the bovine genome

"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."
Subject: 
Biology
A visualisation of the data used in Dr Aslanyan's research.

Fast cosmology with machine learning

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