23 citations · 81 across the 14 of their papers we have counts for
7 papers · 1 filter
Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing
Michele Weiland, Bernhard Homoelle
Byte-addressable persistent memory (B-APM) presents a new opportunity to bridge the performance gap between main memory and storage. In this paper, we present the usage scenarios f…
Porting the microphysics model CASIM to GPU and KNL Cray machines
Nick Brown, Alexandr Nigay, Michèle Weiland +2
CASIM is a microphysics scheme which calculates the interaction between moisture droplets in the atmosphere and forms a critical part of weather and climate modelling codes. Howeve…
In-situ data analytics for highly scalable cloud modelling on Cray machines
Nick Brown, Michèle Weiland, Adrian Hill +1
MONC is a highly scalable modelling tool for the investigation of atmospheric flows, turbulence and cloud microphysics. Typical simulations produce very large amounts of raw data w…
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…
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…
A highly scalable Met Office NERC Cloud model
Nick Brown, Michèle Weiland, Adrian Hill +4
Large Eddy Simulation is a critical modelling tool for scientists investigating atmospheric flows, turbulence and cloud microphysics. Within the UK, the principal LES model used by…