During the last decades, Multigrid methods have been extensively used for solving large sparse linear systems. Considering their efficiency and the convergence behavior, Multigrid methods are used in many scientific fields as solvers or preconditioners. Herewith, we propose two hybrid parallel algorithms for N-Body simulations using the Particle Mesh method and the Particle Particle Particle Mesh method, respectively, based on the V-Cycle Multigrid method in conjunction with Generic Approximate Sparse Inverses. The N-Body problem resides in a three-dimensional torus space, and the bodies are subject only to gravitational forces. In each time step of the above methods, a large sparse linear system is solved to compute the gravity potential a...
International audienceWe present a new scheme to compensate for the small-scales approximations resu...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
An Θ(n) parallel multigrid summation method (MG) for the N-body problem is presented. The method was...
A hybrid parallel self mesh-adaptive N-body method based on approximate inverses and multiprojection...
A new parallel Self Mesh-Adaptive N-body method based on approximate inverses is proposed. The schem...
This work is focussed on the application of multigrid methods to particle simulation methods. Partic...
We develop an algorithm that computes the gravitational potentials and forces on N point-masses int...
In this paper, we describe a new approximation algorithm for the n-body problem. The algorithm is a ...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
Many physical models require the simulation of a large number ($N$) of particles interacting throug...
The N-body problems simulate the evolution of a system of N bodies where the force exerted on each b...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
We describe a parallel, cosmological N-body code based on a hybrid scheme using the particle-mesh (P...
International audienceWe present a new scheme to compensate for the small-scales approximations resu...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...
An Θ(n) parallel multigrid summation method (MG) for the N-body problem is presented. The method was...
A hybrid parallel self mesh-adaptive N-body method based on approximate inverses and multiprojection...
A new parallel Self Mesh-Adaptive N-body method based on approximate inverses is proposed. The schem...
This work is focussed on the application of multigrid methods to particle simulation methods. Partic...
We develop an algorithm that computes the gravitational potentials and forces on N point-masses int...
In this paper, we describe a new approximation algorithm for the n-body problem. The algorithm is a ...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
Many physical models require the simulation of a large number ($N$) of particles interacting throug...
The N-body problems simulate the evolution of a system of N bodies where the force exerted on each b...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
Summary. Multigrid methods are among the fastest numerical algorithms for the solution of large spar...
We describe a parallel, cosmological N-body code based on a hybrid scheme using the particle-mesh (P...
International audienceWe present a new scheme to compensate for the small-scales approximations resu...
From careful observations, scientists derive rules to describe phenomena in nature. These rules are ...
N-Body simulation simulates the evolution of a system that is composed of N particles, where each el...