Posted: 18 Aug 2014 | 13:10
The Fortissimo project, which is coordinated here at EPCC, gives companies a low-risk opportunity to try out HPC. By combining it with cloud computing, they can gain the benefits without buying and running their own systems. Here are three examples of HPC in action under Fortissimo.
Posted: 9 Jul 2014 | 12:04
ARCHER, the UK's national supercomputing service, offers training in software development and high-performance computing to scientists and researchers across the UK. As part of our training service EPCC is running a two-day Software Carpentry boot camp at Imperial College London, UK, on 16-17 September.
Posted: 3 Jul 2014 | 11:42
Do you use scientific codes in your research? Are the things you can do with it limited by the execution time? The code has been parallelised but does not scale well? How should you go about improving the performance? What can you do when you do not have full understanding of the code? There are some general steps that can be taken to improve the performance of parallelised codes. In this article I will describe briefly the process I have undertaken to optimise the parallel performance of a computational chemistry package, TINKER, as part of the EPCC/SSI APES project.
Posted: 30 Sep 2013 | 15:58
Adept, EPCC’s latest EU project, started officially on the 1st September and we held our kick-off meeting in Edinburgh a couple of weeks ago. The project partners travelled from Sweden (Uppsala University and Ericsson) and Belgium (Ghent), as well as from just across town (Alpha Data) to take part.
Posted: 3 Jul 2013 | 08:38
This post was written by Jon Hill from Imperial College, who used to work at EPCC and has been collaborating with us recently.
I always jump at the chance to work with EPCC. Not just because they are my former employers (ah, the joys of Friday buns). Nor is it due to Edinburgh being one of my favourite cities and collaborating with EPCC is a good excuse to visit. The main reason for collaborating with EPCC is to use the wealth of experience the people working there have on making scientific code go even faster. Whilst this is extremely important to our research, we don't have the time to do both science and improve code performance.
Posted: 24 Jun 2013 | 10:28