Computationally-demanding, parallel coupled models are crucial to understanding many important multiphysics/multiscale phenomena. Load-balancing such simulations on large clusters is often done through off-line, static means that often require significan
Abstract. Traditional load balancing algorithms for data-intensive iterative routines can successful...
We present a novel approach for hybrid performance modeling and prediction of large-scale parallel a...
Abstract-The goal of load balancing is to assigns to each node a number of tasks proportional to its...
Achieving ultra scalability in coupled multiphysics and multiscale models requires dynamic load bala...
Dynamic load balancing both within and between constituent subsystems is required to achieve ultra s...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
In parallel computing, obtaining maximal performance is often mandatory to solve large and complex p...
Modeling the performance behavior of parallel applications to predict the execution times of the app...
Due to the dependency of High-Level Architecture (HLA)-Based simulations on the resources of distrib...
International audienceThe heterogeneous nature of distributed platforms such as computational Grids ...
In parallel iterative applications, computational efficiency is essential for addressing large probl...
Performance prediction is set to play a significant role in supportive middleware that is designed t...
In this paper, a replication-based parallel object model will be presented first, where object repli...
A large class of computational problems are characterised by frequent synchronisation, and computati...
The development of Grid environments over recent years now allows scientists access to a range of sh...
Abstract. Traditional load balancing algorithms for data-intensive iterative routines can successful...
We present a novel approach for hybrid performance modeling and prediction of large-scale parallel a...
Abstract-The goal of load balancing is to assigns to each node a number of tasks proportional to its...
Achieving ultra scalability in coupled multiphysics and multiscale models requires dynamic load bala...
Dynamic load balancing both within and between constituent subsystems is required to achieve ultra s...
In this paper we studied performance predictions for parallel scientific applications on a homogeneo...
In parallel computing, obtaining maximal performance is often mandatory to solve large and complex p...
Modeling the performance behavior of parallel applications to predict the execution times of the app...
Due to the dependency of High-Level Architecture (HLA)-Based simulations on the resources of distrib...
International audienceThe heterogeneous nature of distributed platforms such as computational Grids ...
In parallel iterative applications, computational efficiency is essential for addressing large probl...
Performance prediction is set to play a significant role in supportive middleware that is designed t...
In this paper, a replication-based parallel object model will be presented first, where object repli...
A large class of computational problems are characterised by frequent synchronisation, and computati...
The development of Grid environments over recent years now allows scientists access to a range of sh...
Abstract. Traditional load balancing algorithms for data-intensive iterative routines can successful...
We present a novel approach for hybrid performance modeling and prediction of large-scale parallel a...
Abstract-The goal of load balancing is to assigns to each node a number of tasks proportional to its...
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