most citedMachine learning on Crays to optimise petrophysical workflows in oil and gas exploration

22 citations · 53 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DC20201 cited

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…

cs.DC202012 cited

It's all about data movement: Optimising FPGA data access to boost performance

Nick Brown, David Dolman

The use of reconfigurable computing, and FPGAs in particular, to accelerate computational kernels has the potential to be of great benefit to scientific codes and the HPC community…

cs.DC202013 cited

The Technologies Required for Fusing HPC and Real-Time Data to Support Urgent Computing

Gordon Gibb, Rupert Nash, Nick Brown +1

The use of High Performance Computing (HPC) to compliment urgent decision making in the event of disasters is an important future potential use of supercomputers. However, the usag…

cs.DC20202 cited

iPregel: Strategies to Deal with an Extreme Form of Irregularity in Vertex-Centric Graph Processing

Ludovic Anthony Richard Capelli, Nick Brown, Jonathan Mark Bull

Over the last decade, the vertex-centric programming model has attracted significant attention in the world of graph processing, resulting in the emergence of a number of vertex-ce…

physics.geo-ph202022 cited

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…

cs.DC2020

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…