4 citations · 7 across the 4 of their papers we have counts for
4 papers
Driving asynchronous distributed tasks with events
Nick Brown, Oliver Thomson Brown, J. Mark Bull
Open-source matters, not just to the current cohort of HPC users but also to potential new HPC communities, such as machine learning, themselves often rooted in open-source. Many o…
iPregel: Vertex-centric programmability vs memory efficiency and performance, why choose?
Ludovic A. R. Capelli, Zhenjiang Hu, Timothy A. K. Zakian +2
The vertex-centric programming model, designed to improve the programmability in graph processing application writing, has attracted great attention over the years. However, shared…
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…
A highly scalable approach to solving linear systems using two-stage multisplitting
Nick Brown, J. Mark Bull, Iain Bethune
Iterative methods for solving large sparse systems of linear equations are widely used in many HPC applications. Extreme scaling of these methods can be difficult, however, since g…