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20162023
most citedMachine learning on Crays to optimise petrophysical workflows in oil and gas exploration

22 citations · 121 across the 39 of their papers we have counts for

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Showing 2020Show all

20 papers · 1 filter

cs.DC2020★ 1 cited

Benchmarking micro-core architectures for detecting disasters at the edge

Maurice Jamieson, Nick Brown

Leveraging real-time data to detect disasters such as wildfires, extreme weather, earthquakes, tsunamis, human health emergencies, or global diseases is an important opportunity. H…

cs.DC2020★ 3 cited

ePython: An implementation of Python for the many-core Epiphany coprocessor

Nick Brown

The Epiphany is a many-core, low power, low on-chip memory architecture and one can very cheaply gain access to a number of parallel cores which is beneficial for HPC education and…

cs.DC2020★ 7 cited

A comparison of techniques for solving the Poisson equation in CFD

Nick Brown

CFD is a ubiquitous technique central to much of computational simulation such as that required by aircraft design. Solving of the Poisson equation occurs frequently in CFD and the…

cs.DC2020★ 3 cited

Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines

Nick Brown, Michael Bareford, Michèle Weiland

Remote Memory Access (RMA), also known as single sided communications, provides a way of accessing the memory of other processes without having to issue explicit message passing st…

cs.DC2020★ 1 cited

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…

cs.DC2020

A Bespoke Workflow Management System for Data-Driven Urgent HPC

Gordon P. S. Gibb, Nick Brown, Rupert W +7

In this paper we present a workflow management system which permits the kinds of data-driven workflows required by urgent computing, namely where new data is integrated into the wo…