Posted: 15 May 2020 | 15:10
Training is one of the functions of the ARCHER2 Computational Science and Engineering (CSE) service, which is run by EPCC and started on May 6th 2020. We are fully committed to providing a rich, diverse programme of training that is responsive to our users' evolving needs. We have therefore designed a programme that addresses the training requirements of users with different needs and level of experience.
Posted: 27 Nov 2019 | 12:21
EPSRC has recently announced the new Tier-1 ARCHER2 HPC service and is also in the process of extending the UK's Tier-2 HPC systems. This will give users access to substantial amounts of new CPU and GPU hardware, so it's a perfect time to learn about how to use parallel HPC systems and how to program GPUs.
Posted: 31 Oct 2019 | 15:56
In October I ran an online training course teaching current and potential ARCHER users how to run LAMMPS. LAMMPS is a widely-used open-source molecular dynamics (MD) software developed at the National Sandia Laboratories, and is optimised to run well on HPC facilities. It consistently ranks in the top 10 most used programs on ARCHER. Although the course was run on ARCHER and with ARCHER users in mind, I tried to teach users how to use LAMMPS on any platform.
Posted: 7 Aug 2019 | 15:59
ARCHER Training report Summer 2019
So, it's been another busy end to the academic year and summer training season for the ARCHER Training team.
Since June we have managed to cram in no less than twelve training courses, in locations from London to Leeds, and Oxford to EPCC here in Edinburgh.
Posted: 28 Sep 2016 | 15:06
September seems to have passed by in a bit of a blur, and it's already a whole month since the CP2K Summer School, which we ran at King's College London (23-26th August), so I thought it would be a good time to give an update on the recent activities of the CP2K-UK project.
Posted: 4 Mar 2016 | 12:42
Last week we held the 3rd annual CP2K users group meeting down at Kings College London. Amazingly, we are already half-way through the 5-year 'CP2K-UK' project - the EPSRC-funded community support effort that I'm leading - how time flies! It was great to see these meetings continue to go from strength to strength. This year we had over 50 people there on the day from around the UK but also a significant proportion from overseas too! While the primary aim of our activities is to support the UK research community, if we have a wider impact that's of course a bonus.
Posted: 15 Feb 2016 | 15:38
In early December we added a visualisation of the most heavily used application codes to the ARCHER website. At the moment it only shows data for the current month, but we've been recording the data since the ARCHER service began back in 2013 (table below).
Posted: 19 Nov 2015 | 11:11
One of the projects I'm currently leading at EPCC is ExTASY, which is building an 'Extensible Toolkit for Advanced Sampling and analYsis'. I've blogged in the past about the goals of the project, and the painful process leading up to our first public release. As the project is now well into its final year, we are turning our attention to community outreach - showing off what we have built to the biomolecular simulation community and getting their feedback.
Posted: 16 Dec 2014 | 11:27
In 2013, the DiRAC consortium rolled out the DiRAC driving licence, a software skills aptitude test for researchers wanting to use DiRAC's high-performance computing resources. Now ARCHER, the UK National Supercomputing Service, is to roll out an ARCHER driving test.
Despite their similar names, these tests differ in nature, intent, scale and reward. In this post, EPCC's Mike Jackson, Andrew Turner and Clair Barrass compare and contrast these two supercomputer tests.
Posted: 11 Dec 2014 | 12:24
Last week EPCC's ARCHER training team ran another Software Carpentry workshop here in Edinburgh, on 3rd and 4th of December. The workshop provided attendees with an introduction to version control and Git, building programs with Python, automating tasks with Make, and how (and how much) to test programs. These were set within the context of best practices for scientific computing.