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...
AbstractThe problem of scheduling divisible loads in a single-level tree network is considered. All ...
There is extensive literature concerning the divisible load theory. Based on the divisible load theo...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Many applications in scientific and engineering domains are structured as large numbers of independe...
In this paper we study the scheduling of multiple divisible loads on a star network of processors. W...
Divisible load applications consist of an amount of data and associated computation that can be divi...
Applications in many scientific and engineering domains are structured in large numbers of independe...
The Divisible Load Theory (DLT) is a paradigm in the area of parallel and distributed computing. Ba...
In this paper we prove that the Divisible Load Scheduling (DLS) problem is NP-complete when the unde...
In this paper, we discuss several algorithms for scheduling divisible loads on heterogeneous systems...
In this paper we study master-worker scheduling of divisible loads in heterogeneous distributed syst...
The underlying assumption of Divisible Load Scheduling is that the processors composing the network ...
To date solutions for optimal finish time and job allocation in divisible load theory are largely ob...
In this paper we propose a general Linear Programming (LP) based formulation and solution methodolog...
AbstractThe problem of scheduling divisible loads in a single-level tree network is considered. All ...
There is extensive literature concerning the divisible load theory. Based on the divisible load theo...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
(eng) Applications in many scientific and engineering domains are structured in large numbers of ind...
Many applications in scientific and engineering domains are structured as large numbers of independe...
In this paper we study the scheduling of multiple divisible loads on a star network of processors. W...
Divisible load applications consist of an amount of data and associated computation that can be divi...
Applications in many scientific and engineering domains are structured in large numbers of independe...
The Divisible Load Theory (DLT) is a paradigm in the area of parallel and distributed computing. Ba...
In this paper we prove that the Divisible Load Scheduling (DLS) problem is NP-complete when the unde...
In this paper, we discuss several algorithms for scheduling divisible loads on heterogeneous systems...
In this paper we study master-worker scheduling of divisible loads in heterogeneous distributed syst...
The underlying assumption of Divisible Load Scheduling is that the processors composing the network ...
To date solutions for optimal finish time and job allocation in divisible load theory are largely ob...
In this paper we propose a general Linear Programming (LP) based formulation and solution methodolog...
AbstractThe problem of scheduling divisible loads in a single-level tree network is considered. All ...
There is extensive literature concerning the divisible load theory. Based on the divisible load theo...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...