2023

Koskela, T. ORCID: https://orcid.org/0000-0002-5813-6539, Christidi, I. ORCID: https://orcid.org/0000-0002-5045-7987, Giordano, M. ORCID: https://orcid.org/0000-0002-7218-2873, Dubrovska, E. ORCID: https://orcid.org/0009-0003-8066-5458, Quinn, J. ORCID: https://orcid.org/0000-0002-0268-7032, Maynard, C. ORCID: https://orcid.org/0000-0002-6253-9154, Case, D. ORCID: https://orcid.org/0009-0001-3735-5687, Olgu, K. ORCID: https://orcid.org/0000-0003-0351-2055 and Deakin, T. ORCID: https://orcid.org/0000-0002-6439-4171 (2023) Principles for automated and reproducible benchmarking. In: SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 12-17 Nov 2023, Denver, Colorado, pp. 609-618. doi: https://doi.org/10.1145/3624062.3624133 (ISBN: 9798400707858)

2021

Zhang, W., Xu, M., Evans, K., Norman, M., Morales-Hernandez, M., Mahajan, S., Hill, A., Manners, J., Shipway, B. and Maynard, C. (2021) Progress towards accelerating the unified model on hybrid multi-core systems. In: PASC '21: Platform for Advanced Scientific Computing ConferencE, 5 - 9 July 2021, Geneva, Switzerland. doi: https://doi.org/10.1145/3468267.3470612

2020

Maynard, C., Melvin, T. and Mueller, E. (2020) Multigrid preconditioners for the mixed finite element dynamical core of the LFRic atmospheric model. Quarterly Journal of the Royal Meteorological Society, 146 (733). pp. 3917-3936. ISSN 1477-870X doi: https://doi.org/10.1002/qj.3880

2019

Adams, S. V., Ford, R. W., Hambley, M., Hobson, J.M., Kavčič, I., Maynard, C. M., Melvin, T., Müller, E. H., Porter, A. R., Rezny, M., Shipway, B. J. and Wong, W. (2019) LFRic: meeting the challenges of scalability and performance portability in weather and climate models. Journal of Parallel and Distributed Computing, 132. pp. 383-396. ISSN 0743-7315 doi: https://doi.org/10.1016/j.jpdc.2019.02.007

Maynard, C. M. and Walters, D. N. (2019) Mixed-precision arithmetic in the ENDGame dynamical core of the Unified model, a numerical weather prediction and climate model code. Computer Physics Communications, 244. pp. 69-75. ISSN 0010-4655 doi: https://doi.org/10.1016/j.cpc.2019.07.002

2018

Lawrence, B. N. ORCID: https://orcid.org/0000-0001-9262-7860, Rezny, M., Budich, R., Bauer, P., Behrens, J., Carter, M., Deconinck, W., Ford, R., Maynard, C., Mullerworth, S., Osuna, C., Porter, A., Serradell, K., Valcke, S., Wedi, N. and Wilson, S. (2018) Crossing the chasm: how to develop weather and climate models for next generation computers? Geoscientific Model Development, 11 (5). pp. 1799-1821. ISSN 1991-9603 doi: https://doi.org/10.5194/gmd-11-1799-2018

2015

Brown, N., Weiland, M., Hill, A., Shipway, B., Maynard, C., Allen, T. and Rezny, M. (2015) A highly scalable Met Office NERC Cloud model. In: Exascale Applications and Software Conference 2015, 21 - 23 April 2015, Edinburgh, UK, pp. 132-137.

2014

Maynard, C. M. and Pius, E. (2014) A quantum multiply-accumulator. Quantum Information Processing, 13 (5). pp. 1127-1138. ISSN 1573-1332 doi: https://doi.org/10.1007/s11128-013-0715-5