Add to ORKGAbstract—In this work, we investigate the potential benefit of parallelization for both meeting real-time constraints and minimizing power consumption. We consider malleable Gang scheduling of implicit-deadline sporadic tasks upon multipro-cessors. By extending schedulability criteria for malleable jobs to DPM/DVFS-enabled multiprocessor platforms, we are able to derive an offline polynomial-time optimal processor/frequency-selection algorithm. Simulations of our algorithm on randomly generated task systems executing on platforms having up to 16 processing cores show that the theoretical power consumption is reduced by a factor of 36 compared to the optimal non-parallel approach. I
We study the problem of assigning sporadic tasks to unrelated machines such that the tasks on each m...
This paper addresses the problem of scheduling periodic parallel tasks on a multi-resource platform,...
International audienceMulti-core processors achieve a trade-off between the performance and the powe...
Abstract—In this work, we investigate the potential utility of parallelization for meeting real-time...
In this paper we investigate algorithmic instruments leading to low power consumption in computing d...
Modern multi-core embedded processors allow to implement increasingly complex processing application...
Optimal real-time scheduling is effective to not only schedulability improvement but also energy eff...
International audienceAn online, real-time scheduler is proposed to minimize the power consumption o...
International audienceIn this paper, we address the problem of executing (soft) real-time data proce...
The problem of scheduling n tasks in a multiprocessor system with m processors to minimize the makes...
URL : http://rtns07.irisa.fr/fichiers/actes.pdfInternational audienceWe investigate the global sched...
International audienceThe scheduling of parallel tasks is a topic that has received a lot of attenti...
peer reviewedThe scheduling of parallel tasks is a topic that has received a lot of attention in rec...
International audienceIn the classical energy minimization problem, introduced in [24], we are given...
In the following, we consider the problem of minimizing the energy consumption needed for executing ...
We study the problem of assigning sporadic tasks to unrelated machines such that the tasks on each m...
This paper addresses the problem of scheduling periodic parallel tasks on a multi-resource platform,...
International audienceMulti-core processors achieve a trade-off between the performance and the powe...
Abstract—In this work, we investigate the potential utility of parallelization for meeting real-time...
In this paper we investigate algorithmic instruments leading to low power consumption in computing d...
Modern multi-core embedded processors allow to implement increasingly complex processing application...
Optimal real-time scheduling is effective to not only schedulability improvement but also energy eff...
International audienceAn online, real-time scheduler is proposed to minimize the power consumption o...
International audienceIn this paper, we address the problem of executing (soft) real-time data proce...
The problem of scheduling n tasks in a multiprocessor system with m processors to minimize the makes...
URL : http://rtns07.irisa.fr/fichiers/actes.pdfInternational audienceWe investigate the global sched...
International audienceThe scheduling of parallel tasks is a topic that has received a lot of attenti...
peer reviewedThe scheduling of parallel tasks is a topic that has received a lot of attention in rec...
International audienceIn the classical energy minimization problem, introduced in [24], we are given...
In the following, we consider the problem of minimizing the energy consumption needed for executing ...
We study the problem of assigning sporadic tasks to unrelated machines such that the tasks on each m...
This paper addresses the problem of scheduling periodic parallel tasks on a multi-resource platform,...
International audienceMulti-core processors achieve a trade-off between the performance and the powe...