Michèle Weiland

59 papers A 2B 2C 6Journal 27Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
ASiMoV-CCS - A New Solver for Scalable and Extensible CFD & Combustion Simulations.
PASC
Paul Bartholomew, Alexei Borissov, Christopher Goddard, Shrutee Lakshminarasimha, Sébastien Lemaire, Justs Zarins, Michèle Weiland
2025 — ed.
High Performance Computing. ISC High Performance 2024 International Workshops - Hamburg, Germany, May 12-16, 2024, Revised Selected Papers
ISC Workshops
Michèle Weiland, Sarah Neuwirth, Carola Kruse, Tobias Weinzierl
2024 — conf
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe.
PERMAVOST@HPDC
Christopher Rae, Joseph K. L. Lee, James Richings, Michèle Weiland
2024 J jnl
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe.
CoRR
Christopher Rae, Joseph K. L. Lee, James Richings, Michèle Weiland
2024 B conf
Evaluating and optimising compiler code generation for NVIDIA Grace.
ICPP
Ricardo Jesus, Michèle Weiland
2024 J jnl
Morpheus: A library for efficient runtime switching of sparse matrix storage formats.
SoftwareX
Christodoulos Stylianou, Michèle Weiland
2024 — conf
Performance and scaling of the LFRic weather and climate model on different generations of HPE Cray EX supercomputers.
CUG
J. Mark Bull, Andrew Coughtrie, Deva Deeptimahanti, Mark Hedley, Caoimhín Laoide-Kemp, Christopher M. Maynard, Harry Shepherd, Sebastiaan van de Bund, Michèle Weiland, Benjamin Went
2024 J jnl
Performance and scaling of the LFRic weather and climate model on different generations of HPE Cray EX supercomputers.
CoRR
J. Mark Bull, Andrew Coughtrie, Deva Deeptimahanti, Mark Hedley, Caoimhín Laoide-Kemp, Christopher M. Maynard, Harry Shepherd, Sebastiaan van de Bund, Michèle Weiland, Benjamin Went
2024 — conf
Sustainable AI: Experiences, Challenges & Recommendations.
SC Workshops
Eleanor Broadway, Joseph K. L. Lee, Michèle Weiland
2023 C conf
A Study on the Performance Implications of AArch64 Atomics.
ISC
Ricardo Jesus, Michèle Weiland
2023 B conf
AArch64 Atomics: Might They Be Harming Your Performance?
PPoPP
Ricardo Jesus, Michèle Weiland
2023 — conf
An Approach to Performance Portability Through Generic Programming.
Euro-Par Workshops (1)
Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath
2023 J jnl
An approach to performance portability through generic programming.
CoRR
Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath
2023 — ed.
High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers
ISC Workshops
Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse
2023 J jnl
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures.
CoRR
Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland
2023 — conf
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning.
IPDPS Workshops
Christodoulos Stylianou, Michèle Weiland
2023 J jnl
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning.
CoRR
Christodoulos Stylianou, Michèle Weiland
2023 J jnl
Vectorizing and distributing number-theoretic transform to count Goldbach partitions on Arm-based supercomputers.
Concurr. Comput. Pract. Exp.
Ricardo Jesus, Tomás Oliveira e Silva, Michèle Weiland
2022 — conf
Detecting Scale-Induced Overflow Bugs in Production HPC Codes.
ISC Workshops
Justs Zarins, Michèle Weiland, Paul Bartholomew, Leigh Lapworth, Mark Parsons
2022 J jnl
EPCC's Exascale Journey: A Retrospective of the Past 10 Years and a Vision of the Future.
Comput. Sci. Eng.
Michèle Weiland, Mark Parsons
2022 — conf
Exploiting dynamic sparse matrices for performance portable linear algebra operations.
P3HPC@SC
Christodoulos Stylianou, Michèle Weiland
2022 J jnl
Exploiting dynamic sparse matrices for performance portable linear algebra operations.
CoRR
Christodoulos Stylianou, Michèle Weiland
2021 A conf
Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems.
IPDPS
Sudheer Chunduri, Kevin Harms, Taylor L. Groves, Peter Mendygral, Justs Zarins, Michèle Weiland, Yasaman Ghadar
2021 J jnl
Usage Scenarios for Byte-Addressable Persistent Memory in High-Performance and Data Intensive Computing.
J. Comput. Sci. Technol.
Michèle Weiland, Bernhard Homölle
2020 J jnl
A directive based hybrid Met Office NERC Cloud model.
CoRR
Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard
2020 J jnl
A highly scalable Met Office NERC Cloud model.
CoRR
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard, Thomas Allen, Mike Rezny
2020 J jnl
In-situ data analytics for highly scalable cloud modelling on Cray machines.
CoRR
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
2020 C conf
Investigating Applications on the A64FX.
CLUSTER
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
2020 J jnl
Investigating Applications on the A64FX.
CoRR
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
2020 J jnl
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines.
CoRR
Nick Brown, Michael R. Bareford, Michèle Weiland
2020 J jnl
Porting the microphysics model CASIM to GPU and KNL Cray machines.
CoRR
Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway
2020 J jnl
Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing.
CoRR
Michèle Weiland, Bernhard Homölle
2019 — conf
A Study on the Performance of Reproducible Computations.
ISC Workshops
Nico Bombace, Michèle Weiland
2019 — conf
An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory.
ISC Workshops
Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle
2019 A conf
An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications.
SC
Michèle Weiland, Holger Brunst, Tiago Quintino, Nick Johnson, Olivier Iffrig, Simon D. Smart, Christian Herold, Antonino Bonanni, Adrian Jackson, Mark Parsons
2019 — conf
Evaluating the Arm Ecosystem for High Performance Computing.
PASC
Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons
2019 J jnl
Evaluating the Arm Ecosystem for High Performance Computing.
CoRR
Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons
2019 C ed.
High Performance Computing - 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16-20, 2019, Proceedings
ISC
Michèle Weiland, Guido Juckeland, Carsten Trinitis, Ponnuswamy Sadayappan
2019 — ed.
High Performance Computing - ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers
ISC Workshops
Michèle Weiland, Guido Juckeland, Sadaf R. Alam, Heike Jagode
2019 J jnl
Leveraging MPI RMA to optimize halo-swapping communications in MONC on Cray machines.
Concurr. Comput. Pract. Exp.
Nick Brown, Michael R. Bareford, Michèle Weiland
2019 — conf
Progressive Load Balancing in Distributed Memory.
PARCO
Justs Zarins, Michèle Weiland
2018 J jnl
Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory.
CoRR
Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle
2018 J jnl
Exploiting the Performance Benefits of Storage Class Memory for HPC and HPDA Workflows.
Supercomput. Front. Innov.
Michèle Weiland, Adrian Jackson, Nick Johnson, Mark Parsons
2018 C ed.
High Performance Computing - 33rd International Conference, ISC High Performance 2018, Frankfurt, Germany, June 24-28, 2018, Proceedings
ISC
Rio Yokota, Michèle Weiland, David E. Keyes, Carsten Trinitis
2018 — ed.
High Performance Computing - ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers
ISC Workshops
Rio Yokota, Michèle Weiland, John Shalf, Sadaf R. Alam
2018 J jnl
In situ data analytics for highly scalable cloud modelling on Cray machines.
Concurr. Comput. Pract. Exp.
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
2017 — conf
Progressive load balancing of asynchronous algorithms.
IA3@SC
Justs Zarins, Michèle Weiland
2016 — conf
On the trade-offs between energy to solution and runtime for real-world CFD test-cases.
EASC
Michael R. Bareford, Nick Johnson, Michèle Weiland
2015 — conf
A directive based hybrid met office NERC cloud model.
WACCPD@SC
Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard
2015 J jnl
Benchmarking for power consumption monitoring.
Comput. Sci. Res. Dev.
Michèle Weiland, Nick Johnson
2015 — conf
Experiences Porting Production Codes to Xeon Phi Processors.
PARCO
Emmanouil Farsarakis, Adrian Jackson, Fiona Reid, David Scott, Michèle Weiland
2015 C conf
Feasibility Study of Porting a Particle Transport Code to FPGA.
ISC
Iakovos Panourgias, Michèle Weiland, Mark Parsons, David Turland, Dave Barrett, Wayne P. Gaudin
2015 — conf
Symposium on Experiences of Porting and Optimising Code for Xeon Phi Processors.
PARCO
Adrian Jackson, Michèle Weiland, Mark Parsons, Simon McIntosh-Smith
2013 C conf
Achieving Efficient Strong Scaling with PETSc Using Hybrid MPI/OpenMP Optimisation.
ISC
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern
2013 J jnl
Achieving Efficient Strong Scaling with PETSc using Hybrid MPI/OpenMP Optimisation
CoRR
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern
2013 J jnl
Benchmarking mixed-mode PETSc performance on high-performance architectures.
CoRR
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, Xiaohu Guo, James Southern
2012 J jnl
Mixed-mode implementation of PETSc for scalable linear algebra on multi-core processors
CoRR
Michèle Weiland, Lawrence Mitchell, Gerard Gorman, Stephan Kramer, Mark Parsons, James Southern
2010 J jnl
Profile of scientific applications on HPC architectures using the DEISA Benchmark Suite.
Comput. Sci. Res. Dev.
Michèle Weiland
2008 — —
Modelling hierarchical musical structures with composite probabilistic networks.
Michèle Weiland