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pro vyhledávání: '"Giles, Mike B"'
We analyse a multilevel Monte Carlo method for the approximation of distribution functions of univariate random variables. Since, by assumption, the target distribution is not known explicitly, approximations have to be used. We provide an asymptotic
Externí odkaz:
http://arxiv.org/abs/1706.06869
The key common bottleneck in most stencil codes is data movement, and prior research has shown that improving data locality through optimisations that schedule across loops do particularly well. However, in many large PDE applications it is not possi
Externí odkaz:
http://arxiv.org/abs/1704.00693
Publikováno v:
Journal of Computational Physics 297 (2015) 700-720
We present a model and variance reduction method for the fast and reliable computation of statistical outputs of stochastic elliptic partial differential equations. Our method consists of three main ingredients: (1) the hybridizable discontinuous Gal
Externí odkaz:
http://arxiv.org/abs/1409.1526
Akademický článek
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Achieving optimal performance on the latest multi-core and many-core architectures increasingly depends on making efficient use of the hardware's vector units. This paper presents results on achieving high performance through vectorization on CPUs an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::1e31002022354176d443ab66d21e52a6
http://wrap.warwick.ac.uk/83587/1/WRAP-Vectorizing-mesh-many-core-Mudalige-2015.pdf
http://wrap.warwick.ac.uk/83587/1/WRAP-Vectorizing-mesh-many-core-Mudalige-2015.pdf