10 pagesInternational audienceIn this paper we present an efficient algorithm for compile-time scheduling and clustering of parallel programs onto parallel processing systems with distributed memory, which is called The Dynamic Critical Path Scheduling DCPS. The DCPS is superior to several other algorithms from the literature in terms of computational complexity, processors consumption and solution quality. DCPS has a time complexity of O(e + vlog v), as opposed to DSC algorithm O((e + v)log v) which is the best known algorithm
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
Distributed computing systems [DCSs] offer the potential for improved performance and resource shari...
We propose and evaluate a hybrid task scheduling method in order to reduce elapse time of parallel a...
International audienceIn this paper we present an efficient algorithm for compile-time scheduling an...
algorithm for compile-time static scheduling of task graphs onto multiprocessors is proposed. The pr...
International audienceIn this paper, we present an efffficient algorithm for compile time scheduling ...
In this paper, we propose a static scheduling algorithm for allocating task graphs to fully connecte...
In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignment using Sea...
Abstract † In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignmen...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on d...
Abstract—In distributed computing environment, efficient task scheduling is essential to obtain high...
The massive demand for running parallel applications on distributed systems has led to an upsurge in...
Scheduling of dynamically evolving parallel programs in distributed multiprocessor systems, with dif...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
Distributed computing systems [DCSs] offer the potential for improved performance and resource shari...
We propose and evaluate a hybrid task scheduling method in order to reduce elapse time of parallel a...
International audienceIn this paper we present an efficient algorithm for compile-time scheduling an...
algorithm for compile-time static scheduling of task graphs onto multiprocessors is proposed. The pr...
International audienceIn this paper, we present an efffficient algorithm for compile time scheduling ...
In this paper, we propose a static scheduling algorithm for allocating task graphs to fully connecte...
In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignment using Sea...
Abstract † In this paper, we propose a parallel randomized algorithm, called Parallel Fast Assignmen...
The evolution of computers is moving more and more towards multi-core processors and parallel progra...
To parallelize an application program for a distributed memory architecture, we can use a precedence...
Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on d...
Abstract—In distributed computing environment, efficient task scheduling is essential to obtain high...
The massive demand for running parallel applications on distributed systems has led to an upsurge in...
Scheduling of dynamically evolving parallel programs in distributed multiprocessor systems, with dif...
The paper presents an algorithm for scheduling parallel programs for execution in a parallel archite...
Distributed computing systems [DCSs] offer the potential for improved performance and resource shari...
We propose and evaluate a hybrid task scheduling method in order to reduce elapse time of parallel a...