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ORCIDMichèle Weiland
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- affiliation: University of Edinburgh, UK
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2020 – today
- 2025
[e6]Michèle Weiland
, Sarah Neuwirth, Carola Kruse, Tobias Weinzierl:
High Performance Computing. ISC High Performance 2024 International Workshops - Hamburg, Germany, May 12-16, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15058, Springer 2025, ISBN 978-3-031-73715-2 [contents]- 2024
- [j9]Christodoulos Stylianou, Michèle Weiland:
Morpheus: A library for efficient runtime switching of sparse matrix storage formats. SoftwareX 27: 101775 (2024) - [c22]Ricardo Jesus, Michèle Weiland:
Evaluating and optimising compiler code generation for NVIDIA Grace. ICPP 2024: 691-700 - [c21]Eleanor Broadway, Joseph K. L. Lee, Michèle Weiland:
Sustainable AI: Experiences, Challenges & Recommendations. SC Workshops 2024: 1805-1814 - [i18]Christopher Rae, Joseph K. L. Lee, James Richings, Michèle Weiland:
Benchmarking Machine Learning Applications on Heterogeneous Architecture using Reframe. CoRR abs/2404.10536 (2024) - [i17]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:
Performance and scaling of the LFRic weather and climate model on different generations of HPE Cray EX supercomputers. CoRR abs/2409.15859 (2024) - 2023
- [j8]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) - [c20]Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath:
An Approach to Performance Portability Through Generic Programming. Euro-Par Workshops (1) 2023: 282-293 - [c19]Christodoulos Stylianou, Michèle Weiland:
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning. IPDPS Workshops 2023: 734-743 - [c18]Ricardo Jesus, Michèle Weiland:
AArch64 Atomics: Might They Be Harming Your Performance? PPoPP 2023: 419-421 - [c17]Ricardo Jesus, Michèle Weiland:
A Study on the Performance Implications of AArch64 Atomics. ISC 2023: 279-296 - [e5]Amanda Bienz, Michèle Weiland, Marc Baboulin, Carola Kruse:
High Performance Computing - ISC High Performance 2023 International Workshops, Hamburg, Germany, May 21-25, 2023, Revised Selected Papers. Lecture Notes in Computer Science 13999, Springer 2023, ISBN 978-3-031-40842-7 [contents] - [i16]Christodoulos Stylianou, Michèle Weiland:
Optimizing Sparse Linear Algebra Through Automatic Format Selection and Machine Learning. CoRR abs/2303.05098 (2023) - [i15]Christodoulos Stylianou, Mark Klaisoongnoen, Ricardo Jesus, Nick Brown, Michèle Weiland:
Morpheus unleashed: Fast cross-platform SpMV on emerging architectures. CoRR abs/2304.09511 (2023) - [i14]Andreas Hadjigeorgiou, Christodoulos Stylianou, Michèle Weiland, Dirk Jacob Verschuur, Jacob Finkenrath:
An approach to performance portability through generic programming. CoRR abs/2311.05038 (2023) - 2022
- [j7]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): 8-13 (2022) - [c16]Christodoulos Stylianou, Michèle Weiland:
Exploiting dynamic sparse matrices for performance portable linear algebra operations. P3HPC@SC 2022: 47-57 - [c15]Justs Zarins, Michèle Weiland, Paul Bartholomew, Leigh Lapworth, Mark Parsons:
Detecting Scale-Induced Overflow Bugs in Production HPC Codes. ISC Workshops 2022: 33-43 - [i13]Christodoulos Stylianou, Michèle Weiland:
Exploiting dynamic sparse matrices for performance portable linear algebra operations. CoRR abs/2209.06478 (2022) - 2021
- [j6]Michèle Weiland, Bernhard Homölle:
Usage Scenarios for Byte-Addressable Persistent Memory in High-Performance and Data Intensive Computing. J. Comput. Sci. Technol. 36(1): 110-122 (2021) - [c14]Sudheer Chunduri, Kevin Harms, Taylor L. Groves, Peter Mendygral, Justs Zarins, Michèle Weiland, Yasaman Ghadar:
Performance Evaluation of Adaptive Routing on Dragonfly-based Production Systems. IPDPS 2021: 340-349 - 2020
- [c13]Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons:
Investigating Applications on the A64FX. CLUSTER 2020: 549-558 - [i12]Adrian Jackson, Michèle Weiland, Nick Brown, Andrew Turner, Mark Parsons:
Investigating Applications on the A64FX. CoRR abs/2009.11806 (2020) - [i11]Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard, Thomas Allen, Mike Rezny:
A highly scalable Met Office NERC Cloud model. CoRR abs/2009.12849 (2020) - [i10]Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard:
A directive based hybrid Met Office NERC Cloud model. CoRR abs/2009.12850 (2020) - [i9]Nick Brown, Michael R. Bareford, Michèle Weiland:
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines. CoRR abs/2010.13437 (2020) - [i8]Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway:
In-situ data analytics for highly scalable cloud modelling on Cray machines. CoRR abs/2010.14127 (2020) - [i7]Nick Brown, Alexandr Nigay, Michèle Weiland, Adrian Hill, Ben Shipway:
Porting the microphysics model CASIM to GPU and KNL Cray machines. CoRR abs/2010.14823 (2020) - [i6]Michèle Weiland, Bernhard Homölle:
Usage Scenarios for Byte-Addressable Persistent Memory inHigh-Performance and Data Intensive Computing. CoRR abs/2012.06473 (2020)
2010 – 2019
- 2019
- [j5]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) - [c12]Justs Zarins, Michèle Weiland:
Progressive Load Balancing in Distributed Memory. PARCO 2019: 127-136 - [c11]Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons:
Evaluating the Arm Ecosystem for High Performance Computing. PASC 2019: 12:1-12:11 - [c10]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: 76:1-76:19 - [c9]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: 258-274 - [c8]Nico Bombace, Michèle Weiland:
A Study on the Performance of Reproducible Computations. ISC Workshops 2019: 441-451 - [e4]Michèle Weiland, Guido Juckeland, Carsten Trinitis, Ponnuswamy Sadayappan:
High Performance Computing - 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16-20, 2019, Proceedings. Lecture Notes in Computer Science 11501, Springer 2019, ISBN 978-3-030-20655-0 [contents] - [e3]Michèle Weiland, Guido Juckeland, Sadaf R. Alam, Heike Jagode:
High Performance Computing - ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11887, Springer 2019, ISBN 978-3-030-34355-2 [contents] - [i5]Adrian Jackson, Andrew Turner, Michèle Weiland, Nick Johnson, Olly Perks, Mark Parsons:
Evaluating the Arm Ecosystem for High Performance Computing. CoRR abs/1904.04250 (2019) - 2018
- [j4]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) - [j3]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): 79-94 (2018) - [e2]Rio Yokota, Michèle Weiland, David E. Keyes, Carsten Trinitis:
High Performance Computing - 33rd International Conference, ISC High Performance 2018, Frankfurt, Germany, June 24-28, 2018, Proceedings. Lecture Notes in Computer Science 10876, Springer 2018, ISBN 978-3-319-92039-9 [contents] - [e1]Rio Yokota, Michèle Weiland, John Shalf, Sadaf R. Alam:
High Performance Computing - ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11203, Springer 2018, ISBN 978-3-030-02464-2 [contents] - [i4]Adrian Jackson, Michèle Weiland, Mark Parsons, Bernhard Homölle:
Architectures for High Performance Computing and Data Systems using Byte-Addressable Persistent Memory. CoRR abs/1805.10041 (2018) - 2017
- [c7]Justs Zarins, Michèle Weiland:
Progressive load balancing of asynchronous algorithms. IA3@SC 2017: 5:1-5:9 - 2016
- [c6]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: 6:1-6:8 - 2015
- [j2]Michèle Weiland, Nick Johnson:
Benchmarking for power consumption monitoring. Comput. Sci. Res. Dev. 30(2): 155-163 (2015) - [c5]Adrian Jackson, Michèle Weiland, Mark Parsons, Simon McIntosh-Smith:
Symposium on Experiences of Porting and Optimising Code for Xeon Phi Processors. PARCO 2015: 573-573 - [c4]Emmanouil Farsarakis, Adrian Jackson, Fiona Reid, David Scott, Michèle Weiland:
Experiences Porting Production Codes to Xeon Phi Processors. PARCO 2015: 575-583 - [c3]Nick Brown, Angus Lepper, Michèle Weiland, Adrian Hill, Ben Shipway, Chris M. Maynard:
A directive based hybrid met office NERC cloud model. WACCPD@SC 2015: 7:1-7:8 - [c2]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: 139-154 - 2013
- [c1]Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern:
Achieving Efficient Strong Scaling with PETSc Using Hybrid MPI/OpenMP Optimisation. ISC 2013: 97-108 - [i3]Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, James Southern:
Achieving Efficient Strong Scaling with PETSc using Hybrid MPI/OpenMP Optimisation. CoRR abs/1303.5275 (2013) - [i2]Michael Lange, Gerard Gorman, Michèle Weiland, Lawrence Mitchell, Xiaohu Guo, James Southern:
Benchmarking mixed-mode PETSc performance on high-performance architectures. CoRR abs/1307.4567 (2013) - 2012
- [i1]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 abs/1205.2005 (2012) - 2010
- [j1]Michèle Weiland:
Profile of scientific applications on HPC architectures using the DEISA Benchmark Suite. Comput. Sci. Res. Dev. 25(1-2): 33-39 (2010)
2000 – 2009
- 2008
- [b1]Michèle Weiland:
Modelling hierarchical musical structures with composite probabilistic networks. University of Edinburgh, UK, 2008
Coauthor Index
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last updated on 2025-01-22 21:30 CET by the dblp team
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