Add to ORKGAbstract. The grid enables large-scale aggregation and sharing of computational resources. In this paper, we introduce a method for solving the N-body problem on a cluster-grid using our grid system, ALiCE (Adaptive and scaLable internet-based Computing Engine). The modified Barnes-Hut algorithm allows the N-body problem to be solved adaptively using compute resources on-demand. The N-body program is written using ALiCE object programming template. Our experiments varying the number of bodies per task and the number of computation nodes demonstrate the feasibility of exploiting parallelism on a grid system.
A processor pool is a homogeneous collection of processors that are used for computationally intensi...
Abstract. Bioinformatics problems involve complex operations on lengthy DNA and protein sequences. T...
Hierarchical N-body methods, which are based on a fundamental insight into the nature of many physic...
International audienceThis article presents the distribution of a n-body algorithm (a long-range dat...
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
The classical n-body problem in physics addresses the prediction of individual motions of a group of...
This work considers the organization and performance of computations on parallel computers of tree...
We report on an efficient adaptive N-body method which we have recently designed and implemented. Th...
feasible implementation of these algorithms. The execution codes have been written in NESL, a parall...
We present an ecient and provably good partitioning and load balancing algorithm for parallel adapti...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
This paper presents a distributed N-body method based on an adaptive collaborative system model. The...
We report on an efficient adaptive N-body method which u~e have recently designed and implemented. ...
A processor pool is a homogeneous collection of processors that are used for computationally intensi...
Abstract. Bioinformatics problems involve complex operations on lengthy DNA and protein sequences. T...
Hierarchical N-body methods, which are based on a fundamental insight into the nature of many physic...
International audienceThis article presents the distribution of a n-body algorithm (a long-range dat...
A computational grid is a hardware and software infrastructure that provides dependable, consistent,...
We describe the design of several portable and efficient parallel implementations of adaptive N-body...
The classical n-body problem in physics addresses the prediction of individual motions of a group of...
This work considers the organization and performance of computations on parallel computers of tree...
We report on an efficient adaptive N-body method which we have recently designed and implemented. Th...
feasible implementation of these algorithms. The execution codes have been written in NESL, a parall...
We present an ecient and provably good partitioning and load balancing algorithm for parallel adapti...
In this paper, we present two new parallel formulations of the Barnes-Hut method. These parallel for...
O(N) algorithms for N-body simulations enable the simulation of particle systems with up to 100 mill...
This paper presents a distributed N-body method based on an adaptive collaborative system model. The...
We report on an efficient adaptive N-body method which u~e have recently designed and implemented. ...
A processor pool is a homogeneous collection of processors that are used for computationally intensi...
Abstract. Bioinformatics problems involve complex operations on lengthy DNA and protein sequences. T...
Hierarchical N-body methods, which are based on a fundamental insight into the nature of many physic...