13,637 research outputs found
GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations
We discuss the development, verification, and performance of a GPU
accelerated discontinuous Galerkin method for the solutions of two dimensional
nonlinear shallow water equations. The shallow water equations are hyperbolic
partial differential equations and are widely used in the simulation of tsunami
wave propagations. Our algorithms are tailored to take advantage of the single
instruction multiple data (SIMD) architecture of graphic processing units. The
time integration is accelerated by local time stepping based on a multi-rate
Adams-Bashforth scheme. A total variational bounded limiter is adopted for
nonlinear stability of the numerical scheme. This limiter is coupled with a
mass and momentum conserving positivity preserving limiter for the special
treatment of a dry or partially wet element in the triangulation. Accuracy,
robustness and performance are demonstrated with the aid of test cases. We
compare the performance of the kernels expressed in a portable threading
language OCCA, when cross compiled with OpenCL, CUDA, and OpenMP at runtime.Comment: 26 pages, 51 figure
Centrality measures for graphons: Accounting for uncertainty in networks
As relational datasets modeled as graphs keep increasing in size and their
data-acquisition is permeated by uncertainty, graph-based analysis techniques
can become computationally and conceptually challenging. In particular, node
centrality measures rely on the assumption that the graph is perfectly known --
a premise not necessarily fulfilled for large, uncertain networks. Accordingly,
centrality measures may fail to faithfully extract the importance of nodes in
the presence of uncertainty. To mitigate these problems, we suggest a
statistical approach based on graphon theory: we introduce formal definitions
of centrality measures for graphons and establish their connections to
classical graph centrality measures. A key advantage of this approach is that
centrality measures defined at the modeling level of graphons are inherently
robust to stochastic variations of specific graph realizations. Using the
theory of linear integral operators, we define degree, eigenvector, Katz and
PageRank centrality functions for graphons and establish concentration
inequalities demonstrating that graphon centrality functions arise naturally as
limits of their counterparts defined on sequences of graphs of increasing size.
The same concentration inequalities also provide high-probability bounds
between the graphon centrality functions and the centrality measures on any
sampled graph, thereby establishing a measure of uncertainty of the measured
centrality score. The same concentration inequalities also provide
high-probability bounds between the graphon centrality functions and the
centrality measures on any sampled graph, thereby establishing a measure of
uncertainty of the measured centrality score.Comment: Authors ordered alphabetically, all authors contributed equally. 21
pages, 7 figure
An initial evaluation of a biohygrothermal model for the purpose of assessing the risk mould growth in UK dwellings
Moulds are organisms that may be found in both the indoor and outdoor environment. Moulds play an important rolebreaking down and digesting organic material, but, if they are significantly present in the indoor environment they mayaffect the health of the occupants. A relative humidity of 80% at wall surfaces is frequently stated as the decisivecriterion for mould growth and methods used to assess the risk of mould growth are often based on steady stateconditions. However, considering the dynamic conditions typically found in the indoor environment, a betterunderstanding of the conditions required for mould to grow would seem desirable. This paper presents initialexploratory work to evaluate and assess ‘WUFI-bio’ - ‘biohygrothermal’ software that predicts the likelihood of mould growth under transient conditions. Model predictions are compared with large monitored data set from 1,388 UKdwellings before and after insulation and new heating systems are installed (‘Warm Front’), the suitability of thissoftware as a tool to predict mould growth will ultimately be assessed. This paper presents some initial, exploratorywork
Conducta socioespacial frente a un ambiente nuevo de Pseudotropheus tropheops Regan, 1921 (Teleostei, Cichlidae)
Sociospatial behaviour of Pseudotropheus tropheopsReagan, 1921 ina new environment (Teleostei,
Cichlidae).- The relationships between agonistic behaviour and spatial variables
within a group of six captive inmature Pseudotropheus tropheops is studied. Data on frequency
of Eghts and spatial positions are anaiysed during three periods of time within the
24 hours foiiowing modification of the medium. Three phases of social behaviour are established:
1) exploration, performed by the group in schooling; 2) development of Dominance
Hierarchy, characterised by a stable and medium sized activity area; 3) dispersa], which includes a regular, territory-like, pattern of spatial distribution. Severai details of these phases are discussed.Peer reviewe
Experimental Study of the Role of Atomic Interactions on Quantum Transport
We report an experimental study of quantum transport for atoms confined in a
periodic potential and compare between thermal and BEC initial conditions. We
observe ballistic transport for all values of well depth and initial
conditions, and the measured expansion velocity for thermal atoms is in
excellent agreement with a single-particle model. For weak wells, the expansion
of the BEC is also in excellent agreement with single-particle theory, using an
effective temperature. We observe a crossover to a new regime for the BEC case
as the well depth is increased, indicating the importance of interactions on
quantum transport.Comment: 4 pages, 3 figure
Conducta socioespacial frente a un ambiente nuevo de Pseudotropheus tropheops Regan, 1921 (Teleostei, Cichlidae)
Sociospatial behaviour of Pseudotropheus tropheopsReagan, 1921 ina new environment (Teleostei,
Cichlidae).- The relationships between agonistic behaviour and spatial variables
within a group of six captive inmature Pseudotropheus tropheops is studied. Data on frequency
of Eghts and spatial positions are anaiysed during three periods of time within the
24 hours foiiowing modification of the medium. Three phases of social behaviour are established:
1) exploration, performed by the group in schooling; 2) development of Dominance
Hierarchy, characterised by a stable and medium sized activity area; 3) dispersa], which includes a regular, territory-like, pattern of spatial distribution. Severai details of these phases are discussed.Peer reviewe
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