@Article{MadeiraRiStRoRoSiCl:2014:StWoDi,
author = "Madeira, D. and Ricardo, J. and Stalder, Diego H. and Rocha, L.
and Rosa, Reinaldo Roberto and Silveira Filho, O. T. and Clua,
E.",
affiliation = "Universidade Federal de S{\~a}o Jo{\~a}o del Rei, S{\~a}o
Jo{\~a}o del Rei, Minas Gerais, Brazil; Universidade Federal
Fluminense, Niter{\'o}i, Rio de Janeiro, Brazil and Universidade
Federal Fluminense, Niter{\'o}i, Rio de Janeiro, Brazil and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and
Universidade Federal de S{\~a}o Jo{\~a}o del Rei, S{\~a}o
Jo{\~a}o del Rei, Minas Gerais, Brazil and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and Universidade Federal Fluminense,
Niter{\'o}i, Rio de Janeiro, Brazil and Universidade Federal
Fluminense, Niter{\'o}i, Rio de Janeiro, Brazil",
title = "A strategy to workload division for massively particle-particle
N-body simulations on GPUs",
journal = "Lecture Notes in Computer Science",
year = "2014",
volume = "8584 LNCS",
number = "PART 6",
pages = "455--465",
keywords = "Cosmology, Computational constraints, Computational power,
Deformation potential, Hierarchical strategies, Lagrangian
turbulence, Mass distribution, N-body simulation, Subdivision
methods, Program processors.",
abstract = "The new programmable graphical processor units (GPUs) are now
often used as high parallel mathematical co-processors, allowing
many computational-intensive problems to be executed in less time.
It became common and convenient to use single GPUs to implement
different kinds of simulations, or to group them in a grid, so the
computational power can be highly increased, while the power
consumption and physical space increase are significantly lower.
The N-body simulation has been successfully ported to the GPUs.
This algorithm is typically applied to gravitational simulations,
among many other physical problems. In cosmology, one alternative
approach seeks to explain the nature of dark matter as a direct
result of the non-linear space-time curvature, due to different
types of deformation potentials. In order to develop a detailed
study of this new approach, our group is developing the COsmic
LAgrangian TUrbulence Simulator (COLATUS-ENVIU). The simulator
uses the direct particle-particle method to calculate the forces
between the particles, so we eliminate the errors included on the
hierarchical strategies. It gave robust initial results, but was
limited to systems with a small amount of particles. However one
limitation on the use of GPUs on N-body simulation to study the
details on the mass distribution, is that these systems must have
millions (or even billions) of particles, making the use of
particle-particle method in one GPU unfeasible due to memory or
time computational constraints. In this present work we propose a
novel and efficient subdivision method to allow the workload
division, allowing a single GPU to be able to solve large
simulations, while allowing to watch over a particle during all
the simulation. © 2014 Springer International Publishing.",
doi = "10.1007/978-3-319-09153-2_34",
url = "http://dx.doi.org/10.1007/978-3-319-09153-2_34",
isbn = "9783319091525",
issn = "0302-9743",
label = "scopus 2014-11 MadeiraRiStRoRoSiCl:2014:StWoDi",
language = "en",
urlaccessdate = "27 abr. 2024"
}