Posted: 21 Nov 2016 | 09:59
Connor Walsh is a school pupil who joined us on a work experience placement last week. Here's his report.
I have been "working" at the EPCC offices at Edinburgh University under Eilidh Troup on a project using Python and Pygame to simulate how much an object would sink in water when you change the mass and the volume of the object.
Posted: 17 Nov 2016 | 10:03
Fortissimo is a collaborative EC-funded project that enables European SMEs to be more competitive globally through the use of simulation services running on a high performance computing (HPC) cloud infrastructure.
Posted: 16 Nov 2016 | 11:41
It has been around two years since a number of us at EPCC became science, technology, engineering and mathematics (STEM) ambassadors and, as part of our outreach activities, we have maintained our membership of STEMNET (you have to do at least one STEM-related event per year).
Posted: 15 Nov 2016 | 16:11
We are delighted to announce the winner of the ARCHER Image Competition 2016 is Dr Peter Falkingham, Natural Sciences & Psychology Department, Liverpool John Moores University for his image "The birth of a footprint".
The image was selected by the judges for its easily accessible scientific concepts represented by a clear and visually dramatic image.
Posted: 10 Nov 2016 | 11:24
Supercomputing, the biggest conference in our calendar, is on next week and one of the activities I am doing is presenting a paper at the workshop on Python for High-Performance and Scientific Computing.
Posted: 8 Nov 2016 | 23:59
Posted: 7 Nov 2016 | 15:32
I promised in a post last month that I'd write some more about the PrimeGrid project, and it so happened this week that we made a discovery which gives me a good excuse to blog! On 31st October 2016 at 22:13:54 UTC a computer owned by Péter Szabolcs of Hungary reported via the BOINC distributed computing software that the number 10223*231172165+1 was prime.
Posted: 3 Nov 2016 | 14:01
Nektar++  is an open-source MPI-based spectral element code that combines the accuracy of spectral methods with the geometric flexibility of finite elements, specifically, hp-version FEM. Nektar++ was initially developed by Imperial College London and is one of the ExaFLOW co-design applications being actively developed by the consortium. It supports several scalable solvers for many sets of partial differential equations, from (in)compressible Navier-Stokes to the bidomain model of cardiac electrophysiology.