The ability to dynamically adapt an unstructured -rid (or mesh) is a powerful tool for solving computational problems with evolving physical features; however, an efficient parallel implementation is rather difficult, particularly from the view point of portability on various multiprocessor platforms We address this problem by developing PLUM, tin automatic anti architecture-independent framework for adaptive numerical computations in a message-passing environment. Portability is demonstrated by comparing performance on an SP2, an Origin2000, and a T3E, without any code modifications. We also present a general-purpose load balancer that utilizes symmetric broadcast networks (SBN) as the underlying communication pattern, with a goal to provi...
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a...
Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbala...
. In this paper, we present a cohesive, practical load balancing framework that addresses many short...
The ability to dynamically adapt an unstructured grid (or mesh) is a powerful tool for solving compu...
Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbala...
The ability to dynamically adapt an unstructured mesh is a powerful tool for solving computational p...
A large class of computational problems are characterised by frequent synchronisation, and computati...
A parallel method for the dynamic partitioning of unstructured meshes is outlined. The method includ...
This chapter describes a parallel optimization technique that incorporates a distributed load-balanc...
This viewgraph presentation covers the advantages of mesh adaptation, unstructured grids, and dynami...
This research demonstrates that the automatic implementation of a dynamic load balancing (DLB) strat...
Achieving scalable performance for dynamic irregular applications is eminently challenging. Traditio...
We present a new approach to the use of parallel computers with adaptive finite element methods. Thi...
We present solutions to statically load-balance scatter operations in parallel codes run on grids. O...
Abstract Multicomputer systems based on message passing draw attractions in the field of high perfor...
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a...
Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbala...
. In this paper, we present a cohesive, practical load balancing framework that addresses many short...
The ability to dynamically adapt an unstructured grid (or mesh) is a powerful tool for solving compu...
Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbala...
The ability to dynamically adapt an unstructured mesh is a powerful tool for solving computational p...
A large class of computational problems are characterised by frequent synchronisation, and computati...
A parallel method for the dynamic partitioning of unstructured meshes is outlined. The method includ...
This chapter describes a parallel optimization technique that incorporates a distributed load-balanc...
This viewgraph presentation covers the advantages of mesh adaptation, unstructured grids, and dynami...
This research demonstrates that the automatic implementation of a dynamic load balancing (DLB) strat...
Achieving scalable performance for dynamic irregular applications is eminently challenging. Traditio...
We present a new approach to the use of parallel computers with adaptive finite element methods. Thi...
We present solutions to statically load-balance scatter operations in parallel codes run on grids. O...
Abstract Multicomputer systems based on message passing draw attractions in the field of high perfor...
A parallel method for dynamic partitioning of unstructured meshes is described. The method employs a...
Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbala...
. In this paper, we present a cohesive, practical load balancing framework that addresses many short...