We have installed the NAG Fortran compiler on Apocrita for use by researchers
from the School of Economics and Finance. In this post we look at how to
access the compiler, why we may want to use it, and what we have to pay
special attention to.
On Wednesday 2019-02-20 at 14:00 we will be applying an upgrade to our
GitHub Enterprise instance to
version 2.16.2, which includes bug fixes and the latest security updates.
At any one time, a typical HPC cluster is usually full. This is not such a bad
thing, since it means the substantial investment is working hard for the
money, rather than sitting idle. A less ideal situation is having to wait too
long to get your research results. However, jobs are constantly starting and
finishing, and many new jobs get run shortly after being added to the queue. If
your resource requirements are rather niche, or very large, then you will be
competing with other researchers for a more scarce resource.
In any case, whatever sort of jobs you run, it is important to choose resources
optimally, in order to get the best results. Using fewer cores, although
increasing the eventual run time, may result in a much shorter queuing time.
We have recently procured 120TB of NVMe based SSD storage from E8 Storage for
the Apocrita HPC Cluster. The plan is to deploy this to replace our oldest
and slowest provision of scratch storage. We have been performing extensive
testing on this new storage as we expect it to offer new possibilities and
advantages within the cluster.
ITS Research has a Research Software Engineering team. This post introduces
the team and how it supports research in Queen Mary University of London.
You can also see how to contact the team and why you may want to.
As part of our commitment to regular upgrades to the HPC service, and to keep
up with ever-growing demand, we are pleased to announce the addition of new
hardware to the Apocrita HPC Cluster for the benefit of all QMUL Researchers.