Add to ORKGIn this paper an energy-aware scheduling algorithm for heterogeneous multicore general purpose/special purpose processors systems-on-a-chip is presented. The load consists in chains of precedence-related tasks. A systematic search method to find an optimal set of reduced frequencies that diminish the energy consumption is proposed. Evaluations were conducted by means of extensive simulations.Fil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento ...
We present a number of novel algorithms, based on mathematical optimization formulations, in order t...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
Réduire la consommation énergétique des systèmes temps réel embarqués multiprocesseurs est devenu un...
This paper presents a power-aware scheduling algorithm based on efficient distribution of the comput...
peer reviewedWe investigate the problem of scheduling precedence constrained applications on a distr...
peer reviewedWe address the problem of scheduling precedence-constrained scientific applications on ...
Reducing the energy consumption of multiprocessor real-time embedded systems is a growing concern to...
peer reviewedWith the fast development of supercomputers, energy consumption by large scale compute...
Abstract—We investigate the problem of scheduling prece-dence constrained applications on a distribu...
Multicore and multiprocessor systems with dynamic voltage scaling architectures are being used as on...
Modern multi-core embedded processors allow to implement increasingly complex processing application...
Abstract—Energy-efficiency is becoming one of the most critical issues in embedded system design. In...
High-performance computing (HPC), according to its name, is traditionally oriented toward performanc...
International audienceEnergy consumption is an important concern when designing embedded systems. St...
International audienceThe ongoing increase of energy consumption by IT infrastructures forces data c...
We present a number of novel algorithms, based on mathematical optimization formulations, in order t...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
Réduire la consommation énergétique des systèmes temps réel embarqués multiprocesseurs est devenu un...
This paper presents a power-aware scheduling algorithm based on efficient distribution of the comput...
peer reviewedWe investigate the problem of scheduling precedence constrained applications on a distr...
peer reviewedWe address the problem of scheduling precedence-constrained scientific applications on ...
Reducing the energy consumption of multiprocessor real-time embedded systems is a growing concern to...
peer reviewedWith the fast development of supercomputers, energy consumption by large scale compute...
Abstract—We investigate the problem of scheduling prece-dence constrained applications on a distribu...
Multicore and multiprocessor systems with dynamic voltage scaling architectures are being used as on...
Modern multi-core embedded processors allow to implement increasingly complex processing application...
Abstract—Energy-efficiency is becoming one of the most critical issues in embedded system design. In...
High-performance computing (HPC), according to its name, is traditionally oriented toward performanc...
International audienceEnergy consumption is an important concern when designing embedded systems. St...
International audienceThe ongoing increase of energy consumption by IT infrastructures forces data c...
We present a number of novel algorithms, based on mathematical optimization formulations, in order t...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
Réduire la consommation énergétique des systèmes temps réel embarqués multiprocesseurs est devenu un...