Michele Weiland
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An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications
M Weiland, H Brunst, T Quintino, N Johnson, O Iffrig, S Smart, C Herold, ...
Proceedings of the international conference for high performance computing …, 2019
Chapel, Fortress and X10: novel languages for HPC
M Weiland
EPCC, The University of Edinburgh, Tech. Rep. HPCxTR0706 1, 15-16, 2007
A highly scalable Met Office NERC Cloud model
N Brown, M Weiland, A Hill, B Shipway, C Maynard, T Allen, M Rezny
arXiv preprint arXiv:2009.12849, 2020
Developing a scalable hybrid MPI/OpenMP unstructured finite element model
X Guo, M Lange, G Gorman, L Mitchell, M Weiland
Computers & Fluids 110, 227-234, 2015
Achieving efficient strong scaling with PETSc using hybrid MPI/OpenMP optimisation
M Lange, G Gorman, M Weiland, L Mitchell, J Southern
Supercomputing: 28th International Supercomputing Conference, ISC 2013 …, 2013
Investigating Applications on the A64FX
A Jackson, M Weiland, N Brown, A Turner, M Parsons
2020 IEEE International Conference on Cluster Computing (CLUSTER), 549-558, 2020
Learning musical pitch structures with hierarchical hidden Markov models
M Weiland, A Smaill, P Nelson
Journees d’Informatique Musical, 2005
Evaluating the arm ecosystem for high performance computing
A Jackson, A Turner, M Weiland, N Johnson, O Perks, M Parsons
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2019
In situ data analytics for highly scalable cloud modelling on Cray machines
N Brown, M Weiland, A Hill, B Shipway
Concurrency and Computation: Practice and Experience 30 (1), e4331, 2018
Exploiting the performance benefits of storage class memory for HPC and HPDA workflows
M Weiland, A Jackson, N Johnson, M Parsons
Supercomputing Frontiers and Innovations 5 (1), 79-94, 2018
A directive based hybrid met office nerc cloud model
N Brown, A Lepper, M Weiland, A Hill, B Shipway, C Maynard
Proceedings of the Second Workshop on Accelerator Programming using …, 2015
Performance evaluation of adaptive routing on dragonfly-based production systems
S Chunduri, K Harms, T Groves, P Mendygral, J Zarins, M Weiland, ...
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
Mixed-mode implementation of PETSc for scalable linear algebra on multi-core processors
M Weiland, L Mitchell, G Gorman, S Kramer, M Parsons, J Southern
arXiv preprint arXiv:1205.2005, 2012
Benchmarking for power consumption monitoring: Description of benchmarks designed to expose power usage characteristics of parallel hardware systems, and preliminary results
M Weiland, N Johnson
Computer Science-Research and Development 30 (2), 155-163, 2015
Exploring the thread-level parallelisms for the next generation geophysical fluid modelling framework Fluidity-ICOM
X Guo, G Gorman, M Lange, L Mitchell, M Weiland
Procedia Engineering 61, 251-257, 2013
Exploiting dynamic sparse matrices for performance portable linear algebra operations
C Stylianou, M Weiland
2022 IEEE/ACM International Workshop on Performance, Portability and …, 2022
Usage scenarios for byte-addressable persistent memory in high-performance and data intensive computing
M Weiland, B Homölle
Journal of Computer Science and Technology 36, 110-122, 2021
Progressive load balancing of asynchronous algorithms
J Zarins, M Weiland
Proceedings of the Seventh Workshop on Irregular Applications: Architectures …, 2017
Chapel, Fortress and X10: novel languages for HPC. EPCC, The University of Edinburgh
M Weiland
Tech. Rep. HPCxTR0706, 2007
An architecture for high performance computing and data systems using byte-addressable persistent memory
A Jackson, M Weiland, M Parsons, B Homölle
High Performance Computing: ISC High Performance 2019 International …, 2019
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