Posted: 31 Jan 2018 | 10:50
Dr Elsa Gonsiorowski is visiting EPCC from Lawrence Livermore National Laboratory, California, this week. Dr Gonsiorowski is working closely with EPCC's David Henty on various parallel I/O research topics. In this post she introduces her work.
Posted: 6 Nov 2017 | 14:29
Thank you to everyone who submitted images and videos to this year's competition. The outstanding range of entries made judging a most enjoyable experience with so many great demonstrations of the important work being done using ARCHER.
Posted: 5 Sep 2017 | 12:00
UPDATE: Submission deadline extended to 15 October 2017.
We are pleased to announce the ARCHER Image and Video Competition 2017, and we invite all users of the national supercomputing service to share their images and videos on the theme of "ARCHER Enabling Research".
Posted: 26 Jun 2017 | 12:10
Posted: 15 Jun 2017 | 11:28
Several times a year, UK researchers can apply to the ARCHER Embedded Computational Science and Engineering (eCSE) programme which funds the development and improvement of scientific software running on ARCHER, the UK’s national HPC service.
Posted: 30 May 2017 | 11:01
Posted: 21 May 2017 | 16:12
Posted: 11 May 2017 | 00:06
As part of the ARCHER Knights Landing (KNL) processor testbed, we have produced and collected a set of benchmark reports on the performance of various scientific applications on the system. This has involved the ARCHER CSE team, EPCC's Intel Parallel Computing Center (IPCC) team, and various users of the system all benchmarking and documenting the performance they have experienced.
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: 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.