Add to ORKGWe present a data-parallel formulation of an adaptive version of Anderson's method for N-body particle interactions. Our formulation consists of a storage and computationally efficient array-based representation for the nonuniform hierarchy that models arbitrary particle distributions for the computational procedure. We also present data-parallel implementations (in HPF) of several well known partitioning methods. These partitioning methods balance nodal weights (for computation). We present preliminary experimental results for these partitioning schemes and discuss the complete code for adaptive particle simulations.Engineering and Applied Science
Hierarchical N-body methods, which are based on a fundamental insight into the nature of many physic...
Simulations of interacting particles are common in science and engineering, appearing in such divers...
Given an ensemble of n bodies in space whose interaction is governed by a potential function, the N-...
We present an ecient and provably good partitioning and load balancing algorithm for parallel adapti...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
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 ...
We report on an efficient adaptive N-body method which we have recently designed and implemented. Th...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
N-body methods simulate the evolution of systems of particles (or bodies). They are critical for sci...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
The O(N) hierarchical N-body algorithms and mas-sively parallel processors allow particle systems of...
We report on an efficient adaptive N-body method which u~e have recently designed and implemented. ...
This paper presents a distributed N-body method based on an adaptive collaborative system model. The...
Although there exist several approaches to rapidly solving the N-body problem, and a diversity of im...
Hierarchical N-body methods, which are based on a fundamental insight into the nature of many physic...
Simulations of interacting particles are common in science and engineering, appearing in such divers...
Given an ensemble of n bodies in space whose interaction is governed by a potential function, the N-...
We present an ecient and provably good partitioning and load balancing algorithm for parallel adapti...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
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 ...
We report on an efficient adaptive N-body method which we have recently designed and implemented. Th...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
N-body methods simulate the evolution of systems of particles (or bodies). They are critical for sci...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
The O(N) hierarchical N-body algorithms and mas-sively parallel processors allow particle systems of...
We report on an efficient adaptive N-body method which u~e have recently designed and implemented. ...
This paper presents a distributed N-body method based on an adaptive collaborative system model. The...
Although there exist several approaches to rapidly solving the N-body problem, and a diversity of im...
Hierarchical N-body methods, which are based on a fundamental insight into the nature of many physic...
Simulations of interacting particles are common in science and engineering, appearing in such divers...
Given an ensemble of n bodies in space whose interaction is governed by a potential function, the N-...