All Stories

Running Machine Learning workloads on Apocrita

In this tutorial we’ll be showing you how to run a TensorFlow job using the GPU nodes on the Apocrita HPCcluster. We will expand upon the essentials provided on the QMUL HPCdocs site,...

in tutorial, Mar 22, 2019

New high performance storage for scratch data

We are pleased to announce a new scratch storage array that is based on fast NvME based hardware. This will hopefully make I/O related tasksmuch faster

in news, Mar 20, 2019

NAG Fortran compiler available on Apocrita for SEF

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...

in news, Mar 18, 2019

Modules Update March 2019

Since the last update (on 29/11/2018), we have updated the following module files:

in modules, Mar 11, 2019

GitHub Enterprise Upgrade 2.16

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.

in news, Feb 14, 2019

Sizing your Apocrita jobs for quicker results

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...

in tutorial, Jan 28, 2019

Update of environment modules to version 4.2.1

We have deployed the latest version of Environment Modules (4.2.1) across the cluster on all frontend and compute nodes.

in modules, Jan 18, 2019

Using Ford to document Fortran programs

Ford is a tool which can help document Fortran source code. Here we show how to use Ford and the value of automatic documentation generation.

in rse, Dec 19, 2018

Performance testing with NVMe storage and Spectrum Scale 5

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 scrat...

in article, Dec 19, 2018

ppc64le own modules

You may now load private ppc64le modules after loading the use.own module on nodes with POWER9 processors. Private modules must be placed in thedirectory ${HOME}/privatemodules_ppc64l...

in modules, Dec 12, 2018