Zobrazeno 1 - 10
of 24
pro vyhledávání: '"G. D. 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
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
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
Publikováno v:
Software: Practice and Experience. 38:135-159
Autor:
Steve Furber, Paul H. J. Kelly, Luigi Nardi, M. Zeeshan Zia, Nigel Topham, Andrew J. Davison, Mikel Luján, John Mawer, Andy Nisbet, Bruno Bodin, Michael O'Boyle, G. D. Riley
Publikováno v:
Nardi, L, Bodin, B, Zia, M Z, Mawer, J, Nisbet, A, Kelly, P H J, Davison, A J, Luján, M, O'Boyle, M F P, Riley, G, Topham, N & Furber, S 2015, Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM . in 2015 IEEE International Conference on Robotics and Automation (ICRA) . Institute of Electrical and Electronics Engineers (IEEE), Seattle, WA, USA, pp. 5783-5790, 2015 IEEE International Conference on Robotics and Automation, Seattle, United States, 26/05/15 . https://doi.org/10.1109/ICRA.2015.7140009
2015 IEEE International Conference on Robotics and Automation (ICRA)
2015 IEEE International Conference on Robotics and Automation (ICRA)
Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements mean that use on mass market embedded pl
Publikováno v:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 363:1793-1805
Advances in computational Grid technologies are enabling the development of simulations of complex biological and physical systems. Such simulations can be assembled from separate components—separately deployable computation units of well-defined f
Publikováno v:
Concurrency and Computation: Practice and Experience. 17:259-295
In recent years, there has been increasing interest in the development of computer simulations of complex biological systems, and of multi-physics and multi-scale physical phenomena. Applications have been developed that involve the coupling together
Publikováno v:
Concurrency and Computation: Practice and Experience. 18:163-181