Michèle Weiland

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Venues

CoRR

ISC Workshops

Concurr. Comput. Pract. Exp.

PARCO

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Christopher Rae, Joseph K. L. Lee, James Richings, Michèle Weiland
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe. CoRR (2024)
Christodoulos Stylianou, Michèle Weiland
Morpheus: A library for efficient runtime switching of sparse matrix storage formats. SoftwareX 27 (2024)
Ricardo Jesus, Michèle Weiland
Evaluating and optimising compiler code generation for NVIDIA Grace. ICPP (2024)
Christodoulos Stylianou, Michèle Weiland
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning. IPDPS Workshops (2023)
Ricardo Jesus, Tomás Oliveira e Silva, Michèle Weiland
Vectorizing and distributing number-theoretic transform to count Goldbach partitions on Arm-based supercomputers. Concurr. Comput. Pract. Exp. 35 (28) (2023)
Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath
An approach to performance portability through generic programming. CoRR (2023)
Christodoulos Stylianou, Michèle Weiland
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning. CoRR (2023)
Ricardo Jesus, Michèle Weiland
A Study on the Performance Implications of AArch64 Atomics. ISC (2023)
Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures. CoRR (2023)
Ricardo Jesus, Michèle Weiland
AArch64 Atomics: Might They Be Harming Your Performance? PPoPP (2023)
Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath
An Approach to Performance Portability Through Generic Programming. Euro-Par Workshops (1) (2023)
Christodoulos Stylianou, Michèle Weiland
Exploiting dynamic sparse matrices for performance portable linear algebra operations. P3HPC@SC (2022)
Justs Zarins, Michèle Weiland, Paul Bartholomew, Leigh Lapworth, Mark Parsons
Detecting Scale-Induced Overflow Bugs in Production HPC Codes. ISC Workshops (2022)
Michèle Weiland, Mark Parsons
EPCC's Exascale Journey: A Retrospective of the Past 10 Years and a Vision of the Future. Comput. Sci. Eng. 24 (1) (2022)
Chris Stylianou, Michèle Weiland
Exploiting dynamic sparse matrices for performance portable linear algebra operations. CoRR (2022)
Michèle Weiland, Bernhard Homölle
Usage Scenarios for Byte-Addressable Persistent Memory in High-Performance and Data Intensive Computing. J. Comput. Sci. Technol. 36 (1) (2021)
Sudheer Chunduri, Kevin Harms, Taylor Groves, Peter Mendygral, Justs Zarins, Michèle Weiland, Yasaman Ghadar
Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems. IPDPS (2021)
Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard
A directive based hybrid Met Office NERC Cloud model. CoRR (2020)
Michèle Weiland, Bernhard Homölle
Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing. CoRR (2020)
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
Investigating Applications on the A64FX. CLUSTER (2020)
Nick Brown, Michael R. Bareford, Michèle Weiland
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines. CoRR (2020)
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
In-situ data analytics for highly scalable cloud modelling on Cray machines. CoRR (2020)
Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons
Investigating Applications on the A64FX. CoRR (2020)
Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway
Porting the microphysics model CASIM to GPU and KNL Cray machines. CoRR (2020)
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard, Thomas Allen, Mike Rezny
A highly scalable Met Office NERC Cloud model. CoRR (2020)
Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons
Evaluating the Arm Ecosystem for High Performance Computing. PASC (2019)
Justs Zarins, Michèle Weiland
Progressive Load Balancing in Distributed Memory. PARCO (2019)
Michèle Weiland, Holger Brunst, Tiago Quintino, Nick Johnson, Olivier Iffrig, Simon D. Smart, Christian Herold, Antonino Bonanni, Adrian Jackson, Mark Parsons
An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications. SC (2019)
Nick Brown, Michael R. Bareford, Michèle Weiland
Leveraging MPI RMA to optimize halo-swapping communications in MONC on Cray machines. Concurr. Comput. Pract. Exp. 31 (16) (2019)
Nico Bombace, Michèle Weiland
A Study on the Performance of Reproducible Computations. ISC Workshops (2019)
Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle
An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory. ISC Workshops (2019)
Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons
Evaluating the Arm Ecosystem for High Performance Computing. CoRR (2019)
Michèle Weiland, Adrian Jackson, Nick Johnson, Mark Parsons
Exploiting the Performance Benefits of Storage Class Memory for HPC and HPDA Workflows. Supercomput. Front. Innov. 5 (1) (2018)
Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle
Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory. CoRR (2018)
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
In situ data analytics for highly scalable cloud modelling on Cray machines. Concurr. Comput. Pract. Exp. 30 (1) (2018)
Justs Zarins, Michèle Weiland
Progressive load balancing of asynchronous algorithms. IA3@SC (2017)
Michael R. Bareford, Nick Johnson, Michèle Weiland
On the trade-offs between energy to solution and runtime for real-world CFD test-cases. EASC (2016)
Emmanouil Farsarakis, Adrian Jackson, Fiona Reid, David Scott, Michèle Weiland
Experiences Porting Production Codes to Xeon Phi Processors. PARCO (2015)
Adrian Jackson, Michèle Weiland, Mark Parsons, Simon McIntosh-Smith
Symposium on Experiences of Porting and Optimising Code for Xeon Phi Processors. PARCO (2015)
Michèle Weiland, Nick Johnson
Benchmarking for power consumption monitoring. Comput. Sci. Res. Dev. 30 (2) (2015)
Iakovos Panourgias, Michèle Weiland, Mark Parsons, David Turland, Dave Barrett, Wayne P. Gaudin
Feasibility Study of Porting a Particle Transport Code to FPGA. ISC (2015)
Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard
A directive based hybrid met office NERC cloud model. WACCPD@SC (2015)
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, Xiaohu Guo, James Southern
Benchmarking mixed-mode PETSc performance on high-performance architectures. CoRR (2013)
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern
Achieving Efficient Strong Scaling with PETSc Using Hybrid MPI/OpenMP Optimisation. ISC (2013)
Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern
Achieving Efficient Strong Scaling with PETSc using Hybrid MPI/OpenMP Optimisation CoRR (2013)
Michèle Weiland, Lawrence Mitchell, Gerard Gorman, Stephan Kramer, Mark Parsons, James Southern
Mixed-mode implementation of PETSc for scalable linear algebra on multi-core processors CoRR (2012)
Michèle Weiland
Profile of scientific applications on HPC architectures using the DEISA Benchmark Suite. Comput. Sci. Res. Dev. 25 (1-2) (2010)

Michèle Weiland.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michèle Weiland