A Quick Guide to Improving Reproducibility using QCIF and ARDC resources
Dr Francis Gacenga, QCIF’s eResearch Analyst at the University of Southern Queensland, has produced a guide to improving reproducibility using QCIF and ARDC resources.
Using more than one HPC via QRIScloud?
Dr David Green, QCIF’s eResearch Analyst at The University of Queensland, has some tips for those using more than one high-performance computer via QRIScloud.
Data visualisation in Python and R
Amanda Miotto, QCIF’s eResearch Analyst at Griffith University, shares her favourite website for data visualisation, and a ‘cheat sheet’ on graphical parameters in R.
Some do’s and don’ts for happy HPC usage
Dr David Green, a QCIF eResearch Analyst at UQ, outlines what to do and what not to do when using a shared high-performance computer.
Scaling and HPC resources
Jason D’Netto, QCIF’s former eResearch Analyst at QUT, outlines how to find the optimal balance of HPC parallelism for your code.
Free training resources about R
Amanda Miotto, QCIF’s eResearch Analyst at Griffith University, has found a handy online list of free training resources on statistical program R.
UQ Map Gallery of Australia
With quick links to major Australian spatial portals, including AURIN, TERN, National Map, Atlas of Living Australia and more, easily find the data you are chasing or see what data exists within Australia.
How to choose a HPC cluster
With easy access to high-performance computing (HPC) clusters, many users may feel confused about which cluster to choose and if HPC is actually useful for their research. I will outline some basic considerations users should go through to see if HPC is suitable and if yes, which type.
Configuring Nectar instances to auto update
As you will most likely be aware, security is a vital aspect of server deployments. But maintaining, updating and patching servers, virtual machines and “Nectar instances” can be a mundane and arduous task.
Why researchers use Nextcloud for research data storage
It is good research data management practice to prepare for disaster recovery by having more than one copy of your research data.