23 citations · 81 across the 14 of their papers we have counts for
15 papers
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures
Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus +2
Sparse matrices and linear algebra are at the heart of scientific simulations. Over the years, more than 70 sparse matrix storage formats have been developed, targeting a wide rang…
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning
Christodoulos Stylianou, Michele Weiland
Sparse matrices are an integral part of scientific simulations. As hardware evolves new sparse matrix storage formats are proposed aiming to exploit optimizations specific to the n…
Exploiting dynamic sparse matrices for performance portable linear algebra operations
Chris Stylianou, Michele Weiland
Sparse matrices and linear algebra are at the heart of scientific simulations. More than 70 sparse matrix storage formats have been developed over the years, targeting a wide range…
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…