23 citations · 61 across the 10 of their papers we have counts for
10 papers
High level programming abstractions for leveraging hierarchical memories with micro-core architectures
Maurice Jamieson, Nick Brown
Micro-core architectures combine many low memory, low power computing cores together in a single package. These are attractive for use as accelerators but due to limited on-chip me…
Exploring the acceleration of the Met Office NERC Cloud model using FPGAs
Nick Brown
The use of Field Programmable Gate Arrays (FPGAs) to accelerate computational kernels has the potential to be of great benefit to scientific codes and the HPC community in general.…
Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration
Nick Brown, Anna Roubickova, Ioanna Lampaki +3
The oil and gas industry is awash with sub-surface data, which is used to characterize the rock and fluid properties beneath the seabed. This in turn drives commercial decision mak…
Weighing up the new kid on the block: Impressions of using Vitis for HPC software development
Nick Brown
The use of reconfigurable computing, and FPGAs in particular, has strong potential in the field of High Performance Computing (HPC). However the traditionally high barrier to entry…
Modelling the earth's geomagnetic environment on Cray machines using PETSc and SLEPc
Nick Brown, Brian Bainbridge, Ciarán Beggan +3
The British Geological Survey's global geomagnetic model, Model of the Earth's Magnetic Environment (MEME), is an important tool for calculating the earth's magnetic field, which i…
A directive based hybrid Met Office NERC Cloud model
Nick Brown, Angus Lepper, Michèle Weiland +3
Large Eddy Simulation is a critical modelling tool for the investigation of atmospheric flows, turbulence and cloud microphysics. The models used by the UK atmospheric research com…