Posted: 27 Jan 2015 | 22:16
I have been re-architecting the solver-side of VOX-FE, a voxel-based finite element bone modelling suite developed by Prof. Michael Fagan's Medical & Biological Engineering group at the University of Hull. The suite comprises a GUI (you can read more about it in this blog post) and a linear solver. VOX-FE creates bone models made up of small cuboid elements by directly converting Computed Tomographic data into these elements. This circumvents the problems faced by the more common method of model creation via mesh interpolation (loss of detail, scaling issues). VOX-FE's approach makes modelling an entire skull with surrounding soft tissue a realisable goal. However, it’s not quite there yet.
Posted: 25 Jan 2015 | 15:55
For the last few years, I have had the opportunity to collaborate with Prof. Michael Fagan of the Medical and Biological Engineering group at the University of Hull on the development of his VOX-FE voxel finite-element (FE) bone modelling software. Past projects under EPSRC and HECToR dCSE funding allowed us to improve the scaling of the core solver and implementent parallel I/O, but it has become increasingly apparently that this was papering over the cracks, and a complete re-engineering of the code base would be required to make it portable, scalable and flexible enough to be useable.
Posted: 8 Jan 2015 | 11:53
EPCC helped lead the way in creating the standardised Message-Passing Interface (MPI) programming system to enable faster, more powerful, problem solving using parallel computing. It is now the ubiquitous de-facto standard among both hardware and software vendors.
Posted: 7 Jan 2015 | 10:18
Big-Data compressive sensing: fast, parallelised and distributed algorithms
EPCC is excited to be part of a new project, funded through EPSRC's Software for the Future programme, to develop and exploit compressive-sensing algorithms for large-scale data problems.
Posted: 17 Dec 2014 | 16:32
We have just reached the end of a short project collaborating with Atmospheric Geochemists at the universities of Edinburgh and Bristol. After they purchased two machines each, both with dual Intel Xeon Ivy-bridge 12-core CPUs and NVIDIA Tesla K20x GPUs, EPCC was tasked to investigate the feasability of using the GPUs to improve the performance of their software.
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.
Posted: 21 Nov 2014 | 10:29
EPCC's Grand Challenges Optimisation Centre, an Intel Parallel Computing Centre which we announced earlier in the year, has made significant progress over recent months.
The collaboration was created to optimise codes for Intel processors, particularly to port and optimise scientific simulation codes for Intel Xeon Phi co-processors. As EPCC also runs the ARCHER supercomputer, which contains a large number of Intel Xeon processors (although no accelerators or co-processors), for EPSRC and other UK research funding councils, we also have a strong focus on ensuring that scientific simulation codes are highly optimised for these processors. Therefore, the IPCC work at EPCC has been concentrating on improving the performance of a range of codes that are heavily used for computational simulation in the UK on both Intel Xeon and Intel Xeon Phi processors.
Posted: 20 Nov 2014 | 12:22
The Software Sustainability Institute (SSI) is seeking applications to its Open Call for Projects, a free service that allows researchers to propose joint software consultancy projects with the Institute.
If you write code as part of your research and you are successful in your application you can get the SSI to help you improve your development processes and/or your code's sustainability at zero cost to yourself. Note that the call closes on the 5th December 2014.
Posted: 16 Nov 2014 | 23:11
The Nu-FuSE (Nuclear Fusion Simulations at Exascale) project was a 3-year, G8 funded, international research project to investigate the challenges and requirements for fusion simulations at Exascale levels. The project’s aim was to significantly improve computational modelling capabilities for fusion, and fusion-related sciences, enhancing the predictive capabilities needed to address key physics challenges of a new generation of fusion systems.
Posted: 7 Nov 2014 | 15:39