The O(N) hierarchical N-body algorithms and mas-sively parallel processors allow particle systems of 100 million particles or more to be simulated in acceptable time. We describe a data-parallel implementation of Anderson’s method and demonstrate both efficiency and scalability of the implementation on the Connec-tion Machine CM-5/5E systems. The communication time for large particle systems amounts to about 10%-25%, and the overall efficiency is about 35%, corre-sponding to a performance of about 60 Mflop/s per CM-5E node, independent of the number of nodes
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
Direct-summation N-body algorithms compute the gravitational interaction between stars in an exact w...
A processor pool is a homogeneous collection of processors that are used for computationally intensi...
The O(N) hierarchical N-body algorithms and Massively Parallel Processors allow particle systems of ...
The O(N) hierarchical N–body algorithms and Massively Parallel Processors allow particle systems of ...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
The optimization techniques for hierarchical O(N) N-body algorithms described here focus on managing...
This work considers the organization and performance of computations on parallel computers of tree...
We present a data-parallel formulation of an adaptive version of Anderson's method for N-body partic...
The efficient parallelization of fast multipole-based algorithms for the N-body problem is one of th...
Although there exist several approaches to rapidly solving the N-body problem, and a diversity of im...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
I describe here the performance of a parallel treecode with individual particle timesteps. The code ...
Simulations of interacting particles are common in science and engineering, appearing in such divers...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
Direct-summation N-body algorithms compute the gravitational interaction between stars in an exact w...
A processor pool is a homogeneous collection of processors that are used for computationally intensi...
The O(N) hierarchical N-body algorithms and Massively Parallel Processors allow particle systems of ...
The O(N) hierarchical N–body algorithms and Massively Parallel Processors allow particle systems of ...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
The optimization techniques for hierarchical O(N) N-body algorithms described here focus on managing...
This work considers the organization and performance of computations on parallel computers of tree...
We present a data-parallel formulation of an adaptive version of Anderson's method for N-body partic...
The efficient parallelization of fast multipole-based algorithms for the N-body problem is one of th...
Although there exist several approaches to rapidly solving the N-body problem, and a diversity of im...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
I describe here the performance of a parallel treecode with individual particle timesteps. The code ...
Simulations of interacting particles are common in science and engineering, appearing in such divers...
We report the design and performance of a computational molecular dynamics (MD) code for 400 million...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
Direct-summation N-body algorithms compute the gravitational interaction between stars in an exact w...
A processor pool is a homogeneous collection of processors that are used for computationally intensi...