Zobrazeno 1 - 10
of 214
pro vyhledávání: '"G. A. Riley"'
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 3447-3464 (2018)
We present an approach which we call PSyKAl that is designed to achieve portable performance for parallel finite-difference, finite-volume, and finite-element earth-system models. In PSyKAl the code related to the underlying science is formally s
Externí odkaz:
https://doaj.org/article/37d5c1a3f6774baab7969cc7e3e3a059
Autor:
S. Valcke, V. Balaji, A. Craig, C. DeLuca, R. Dunlap, R. W. Ford, R. Jacob, J. Larson, R. O'Kuinghttons, G. D. Riley, M. Vertenstein
Publikováno v:
Geoscientific Model Development, Vol 5, Iss 6, Pp 1589-1596 (2012)
This paper presents a review of the software currently used in climate modelling in general and in CMIP5 in particular to couple the numerical codes representing the different components of the Earth System. The coupling technologies presented show c
Externí odkaz:
https://doaj.org/article/4df53ce4863c4961bec1373084677be2
Autor:
A. Magni, G. Carlotti, A. Casiraghi, E. Darwin, G. Durin, L. Herrera Diez, B. J. Hickey, A. Huxtable, C. Y. Hwang, G. Jakob, C. Kim, M. Klaui, J. Langer, C. H. Marrows, H. T. Nembach, D. Ravelosona, G. A. Riley, J. M. Shaw, V. Sokalski, S. Tacchi, M. Kuepferling
Different models have been used to evaluate the interfacial Dzyaloshinskii-Moriya interaction (DMI) from the asymmetric bubble expansion method using magneto-optics. Here we investigate the most promising candidates over a range of different magnetic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f3f82a6b5854b9c03cb3aab1884240
Publikováno v:
Journal of Parallel and Distributed Computing. 134:75-88
Energy consumption has been widely studied in the computer architecture field for decades. While the adoption of energy as a metric in machine learning is emerging, the majority of research is still primarily focused on obtaining high levels of accur
Publikováno v:
Conf. Computing Frontiers
The Breadth-First Search (BFS) algorithm is an important building block for graph analysis of large datasets. The BFS parallelisation has been shown to be challenging because of its inherent characteristics, including irregular memory access patterns
Combustion of coal in a flameless oxidation environment under oxyfuel firing conditions: the reality
Publikováno v:
Journal of the Energy Institute. 85:131-134
Flameless combustion was initially developed to minimise NOx emissions produced in industrial furnaces used high temperature preheated air. These applications were typically fired with natural gas. The feasibility of firing a solid fuel; in this case
Publikováno v:
Journal of the Energy Institute. 85:123-130
In this work, oxygen enriched air combustion is addressed. A 0·5 MW Doosan–Babcock burner was used and fired on the RWE npower combustion test facility located on the site of the Didcot ‘A’ Power Station in the UK. The present work concentrate
Publikováno v:
Journal of the Energy Institute. 84:174-184
In this study, the effect of using both wet and dry recycled flue gases on oxyfuel combustion has been investigated using an International Flame Research Foundation (IFRF) burner installed on a 0·5 MWt combustion test facility firing Russian coal an
Autor:
G. L. Riley, Colin R. Thomas
Publikováno v:
Biotechnology Letters. 32:1623-1629
Existing correlations of Power law consistency index with Penicillium chrysogenum biomass concentration and morphology were revised using a microscope magnification of 50 times to characterize the latter, rather than the 80 times used previously. Thi
Autor:
Timothy J. Osborn, Michael K. Bane, Sarah C. B. Raper, C. Linstead, Hans Joachim Schellnhuber, Rupert Klein, Haoran Pan, Rupert W. Ford, Rachel Warren, Robin K. S. Hankin, C. Barton, Terry Barker, T. D. Mitchell, Jonathan Köhler, Nigel W. Arnell, Hans-Martin Füssel, Dennis Anderson, S. de la Nava Santos, S. Winne, G. D. Riley
Publikováno v:
Environmental Modelling & Software. 23:592-610
This paper describes the development and first results of the ''Community Integrated Assessment System'' (CIAS), a unique multi-institutional modular and flexible integrated assessment system for modelling climate change. Key to this development is t