Applications in many scientific and engineering domains are structured in large numbers of independent tasks with low granularity. These applications can thus be naturally parallelized, typically in master-worker fashion, provided that efficient scheduling strategies are available. Such applications have been called divisible loads because a scheduler may divide the computation among worker processes arbitrarily, both in terms of number of tasks and of task sizes. Divisible load scheduling has been an active area of research for the last twenty years. A vast literature offers results and scheduling algorithms for various models for the underlying distributed computing platform. Broad surveys are available that report on accomplishments in t...
This paper investigates co-scheduling algorithms for processing a set of parallel applications. Inst...
accepted for publication in IPDPS 2013International audienceDivisible Load Theory (DLT) has received...
Branch and Bound (B&B) algorithms are exact methods used to solve combinatorial optimization problem...
Applications in many scientific and engineering domains are structured in large numbers of independe...
Divisible load applications consist of an amount of data and associated computation that can be divi...
Many applications in scientific and engineering domains are structured as large numbers of independe...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
In this paper we study master-worker scheduling of divisible loads in heterogeneous distributed syst...
This thesis mainly deals with the mapping and the scheduling of applications on large heteroge- neou...
Min, Veeravalli, and Barlas have recently proposed strategies to minimize the overall execution time...
In this paper, we consider the problem of allocating and scheduling a collection of independent, equ...
In this paper, we will investigate two complementary computational models that have been proposed re...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
A complex network is a set of entities in a relationship, modeled by a graph where nodes represent e...
The Cloud Computing appears as a strong concept to share costs and resources related to the use of e...
This paper investigates co-scheduling algorithms for processing a set of parallel applications. Inst...
accepted for publication in IPDPS 2013International audienceDivisible Load Theory (DLT) has received...
Branch and Bound (B&B) algorithms are exact methods used to solve combinatorial optimization problem...
Applications in many scientific and engineering domains are structured in large numbers of independe...
Divisible load applications consist of an amount of data and associated computation that can be divi...
Many applications in scientific and engineering domains are structured as large numbers of independe...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
In this paper we study master-worker scheduling of divisible loads in heterogeneous distributed syst...
This thesis mainly deals with the mapping and the scheduling of applications on large heteroge- neou...
Min, Veeravalli, and Barlas have recently proposed strategies to minimize the overall execution time...
In this paper, we consider the problem of allocating and scheduling a collection of independent, equ...
In this paper, we will investigate two complementary computational models that have been proposed re...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
A complex network is a set of entities in a relationship, modeled by a graph where nodes represent e...
The Cloud Computing appears as a strong concept to share costs and resources related to the use of e...
This paper investigates co-scheduling algorithms for processing a set of parallel applications. Inst...
accepted for publication in IPDPS 2013International audienceDivisible Load Theory (DLT) has received...
Branch and Bound (B&B) algorithms are exact methods used to solve combinatorial optimization problem...