Modelling & simulation
Posted: 5 Mar 2015 | 09:36
Earlier this month we held the second annual CP2K User Group Meeting at King's College London, in the shadow of London's iconic 'Shard'. The meeting was even more popular than last year's, with around 60 people coming along to learn about the latest new features available in CP2K, and to hear from a wide range of existing users what they are doing with the code.
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: 23 Jan 2015 | 14:58
The Auditory pilot project, involving EPCC and the University’s Acoustics and Audio Group, sought to use HPC to enable faster run times for computational models of the human hearing organ. Dr Michael Newton of the Group explains the work.
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: 5 Dec 2014 | 14:53
The NESS project is developing next-generation sound synthesis techniques based on physical models of acoustical systems. One key system targeted by NESS is the acoustics of 3D rooms.
Computer simulation of 3D room acoustics has many practical applications such as the design of concert halls, virtual reality systems, and artificial reverberation effects for electroacoustic music and video games.
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: 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
Posted: 4 Nov 2014 | 10:52