Abstract—This paper presents a cohesive, practical load balancing framework that improves upon existing strategies. These techniques are portable to a broad range of prevalent architectures, including massively parallel machines, such as the Cray T3D/E and Intel Paragon, shared memory systems, such as the Silicon Graphics PowerChallenge, and networks of workstations. As part of the work, an adaptive heat diffusion scheme is presented, as well as a task selection mechanism that can preserve or improve communication locality. Unlike many previous efforts in this arena, the techniques have been applied to two large-scale industrial applications on a variety of multicomputers. In the process, this work exposes a serious deficiency in current lo...
We derive analytical results for a dynamic load balancing algorithm modeled by the heat equation ut ...
Distributed systems are gradually being accepted as the dominant computing paradigm of the future. H...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...
This paper presents a cohesive, practical load balancing framework that improves upon existing strat...
. In this paper, we present a cohesive, practical load balancing framework that addresses many short...
The purpose of load balancing algorithm is to distribute the excess load from heavily loaded nodes t...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
In the area of load balancing policies for massively parallel architectures, several load balancing ...
The grid and cluster computing uses interconnected nodes to solve a problem in parallel in order to ...
The study investigates various load balancing strategies to improve the performance of distributed c...
Dynamic load balancing techniques have been shown to be the most critical part of an efficient imple...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...
This paper presents a diffusive load balancing method for scalable multicomputers. In contrast to ot...
A large class of computational problems are characterised by frequent synchronisation, and computati...
Dynamic load balancing techniques have proved to be the most critical part of an efficient implement...
We derive analytical results for a dynamic load balancing algorithm modeled by the heat equation ut ...
Distributed systems are gradually being accepted as the dominant computing paradigm of the future. H...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...
This paper presents a cohesive, practical load balancing framework that improves upon existing strat...
. In this paper, we present a cohesive, practical load balancing framework that addresses many short...
The purpose of load balancing algorithm is to distribute the excess load from heavily loaded nodes t...
The overall efficiency of parallel algorithms is most decisively effected by the strategy applied fo...
In the area of load balancing policies for massively parallel architectures, several load balancing ...
The grid and cluster computing uses interconnected nodes to solve a problem in parallel in order to ...
The study investigates various load balancing strategies to improve the performance of distributed c...
Dynamic load balancing techniques have been shown to be the most critical part of an efficient imple...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...
This paper presents a diffusive load balancing method for scalable multicomputers. In contrast to ot...
A large class of computational problems are characterised by frequent synchronisation, and computati...
Dynamic load balancing techniques have proved to be the most critical part of an efficient implement...
We derive analytical results for a dynamic load balancing algorithm modeled by the heat equation ut ...
Distributed systems are gradually being accepted as the dominant computing paradigm of the future. H...
Load balancing in large parallel systems with distributed memory is a difficult task often influenci...