Michèle Weiland

According to our database, Michèle Weiland authored at least 37 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Morpheus unleashed: Fast cross-platform SpMV on emerging architectures.

Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland

CoRR, 2023

Vectorizing and distributing number-theoretic transform to count Goldbach partitions on Arm-based supercomputers.

Ricardo Jesus, Tomás Oliveira e Silva, Michèle Weiland

Concurr. Comput. Pract. Exp., 2023

A Study on the Performance Implications of AArch64 Atomics.

Ricardo Jesus, Michèle Weiland

Proceedings of the High Performance Computing - 38th International Conference, 2023

AArch64 Atomics: Might They Be Harming Your Performance?

Ricardo Jesus, Michèle Weiland

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023

Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning.

Christodoulos Stylianou, Michèle Weiland

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

An Approach to Performance Portability Through Generic Programming.

Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath

Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022

EPCC's Exascale Journey: A Retrospective of the Past 10 Years and a Vision of the Future.

Michèle Weiland, Mark Parsons

Comput. Sci. Eng., 2022

Detecting Scale-Induced Overflow Bugs in Production HPC Codes.

Justs Zarins, Michèle Weiland, Paul Bartholomew, Leigh Lapworth, Mark Parsons

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Exploiting dynamic sparse matrices for performance portable linear algebra operations.

Christodoulos Stylianou, Michèle Weiland

Proceedings of the IEEE/ACM International Workshop on Performance, 2022

2021

Usage Scenarios for Byte-Addressable Persistent Memory in High-Performance and Data Intensive Computing.

Michèle Weiland, Bernhard Homölle

J. Comput. Sci. Technol., 2021

Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems.

Sudheer Chunduri, Kevin Harms, Taylor L. Groves, Peter Mendygral, Justs Zarins, Michèle Weiland, Yasaman Ghadar

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020

Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing.

Michèle Weiland, Bernhard Homölle

CoRR, 2020

Porting the microphysics model CASIM to GPU and KNL Cray machines.

Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway

CoRR, 2020

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

Nick Brown, Michael R. Bareford, Michèle Weiland

CoRR, 2020

A highly scalable Met Office NERC Cloud model.

Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard, Thomas Allen, Mike Rezny

CoRR, 2020

Investigating Applications on the A64FX.

Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

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

Nick Brown, Michael R. Bareford, Michèle Weiland

Concurr. Comput. Pract. Exp., 2019

An Architecture for High Performance Computing and Data Systems Using Byte-Addressable Persistent Memory.

Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle

Proceedings of the High Performance Computing, 2019

A Study on the Performance of Reproducible Computations.

Nico Bombace, Michèle Weiland

Proceedings of the High Performance Computing, 2019

An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications.

Michèle Weiland, Holger Brunst, Tiago Quintino, Nick Johnson, Olivier Iffrig, Simon D. Smart, Christian Herold, Antonino Bonanni, Adrian Jackson, Mark Parsons

Proceedings of the International Conference for High Performance Computing, 2019

Evaluating the Arm Ecosystem for High Performance Computing.

Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons

Proceedings of the Platform for Advanced Scientific Computing Conference, 2019

Progressive Load Balancing in Distributed Memory.

Justs Zarins, Michèle Weiland

Proceedings of the Parallel Computing: Technology Trends, 2019

2018

Exploiting the Performance Benefits of Storage Class Memory for HPC and HPDA Workflows.

Michèle Weiland, Adrian Jackson, Nick Johnson, Mark Parsons

Supercomput. Front. Innov., 2018

Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory.

Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle

CoRR, 2018

In situ data analytics for highly scalable cloud modelling on Cray machines.

Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway

Concurr. Comput. Pract. Exp., 2018

2017

Progressive load balancing of asynchronous algorithms.

Justs Zarins, Michèle Weiland

Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms, 2017

2016

On the trade-offs between energy to solution and runtime for real-world CFD test-cases.

Michael R. Bareford, Nick Johnson, Michèle Weiland

Proceedings of the Exascale Applications and Software Conference 2016, 2016

2015

Benchmarking for power consumption monitoring.

Michèle Weiland, Nick Johnson

Comput. Sci. Res. Dev., 2015

Feasibility Study of Porting a Particle Transport Code to FPGA.

Iakovos Panourgias, Michèle Weiland, Mark Parsons, David Turland, Dave Barrett, Wayne P. Gaudin

Proceedings of the High Performance Computing - 30th International Conference, 2015

A directive based hybrid met office NERC cloud model.

Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris Maynard

Proceedings of the Second Workshop on Accelerator Programming using Directives, 2015

Symposium on Experiences of Porting and Optimising Code for Xeon Phi Processors.

Adrian Jackson, Michèle Weiland, Mark Parsons, Simon McIntosh-Smith

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

Experiences Porting Production Codes to Xeon Phi Processors.

Emmanouil Farsarakis, Adrian Jackson, Fiona Reid, David Scott, Michèle Weiland

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

2013

Benchmarking mixed-mode PETSc performance on high-performance architectures.

Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, Xiaohu Guo, James Southern

CoRR, 2013

Achieving Efficient Strong Scaling with PETSc Using Hybrid MPI/OpenMP Optimisation.

Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern

Proceedings of the Supercomputing - 28th International Supercomputing Conference, 2013

2012

Mixed-mode implementation of PETSc for scalable linear algebra on multi-core processors

Michèle Weiland, Lawrence Mitchell, Gerard Gorman, Stephan Kramer, Mark Parsons, James Southern

CoRR, 2012

2010

Profile of scientific applications on HPC architectures using the DEISA Benchmark Suite.

Michèle Weiland

Comput. Sci. Res. Dev., 2010

2008

Modelling hierarchical musical structures with composite probabilistic networks.

Michèle Weiland

PhD thesis, 2008