Add to ORKGInternational audienceThis paper describes an energy-aware scheduling approach intended for use in heterogeneous multiprocessors supporting hardware acceleration with Dynamic and Partial Re-configuration. Scheduler decisions rely on pragmatic power and energy models to map the load across cores and reconfigurable regions with regards to the actual power costs. Results on a multithreaded H.264/AVC profile decoder with three possible hardware functions on a Xilinx Zynq based platform report energy gains up to 44.1% over full software execution and 49.6% over static hardware / software execution, while ensuring real-time decoding requirement
International audienceAn online, real-time scheduler is proposed to minimize the power consumption o...
In this paper, we combine coarse-grained software pipelining with DVS (Dynamic Voltage/Frequency Sca...
High-performance computing platforms have become critical in meeting the demands of modern computing...
International audienceThis paper describes an energy-aware scheduling approach intended for use in h...
International audienceAlthough fairly known for a long time, the vast potential of Dynamic and Parti...
This paper exhaustively explores the potential energy efficiency improvements of Dynamic and Partial...
The dynamism inside applications can be exploited to save energy. A proactive scheduler that exploit...
In this paper, we propose an optimal scheduling scheme that minimizes the energy consumption of a re...
This paper presents a new technique to improve the efficiency of data scheduling for multi-context r...
Multicore processors promise higher throughput at lower power consumption than single core processor...
This article presents a survey of energy-aware scheduling algorithms proposed for real-time systems....
Heterogeneous and configurable multicore systems provide hardware specialization to meet disparate a...
Multicore processors deliver a higher throughput at lower power consumption than unicore processors....
This paper presents an energy-aware method to schedule multiple real-time tasks in multiprocessor sy...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
International audienceAn online, real-time scheduler is proposed to minimize the power consumption o...
In this paper, we combine coarse-grained software pipelining with DVS (Dynamic Voltage/Frequency Sca...
High-performance computing platforms have become critical in meeting the demands of modern computing...
International audienceThis paper describes an energy-aware scheduling approach intended for use in h...
International audienceAlthough fairly known for a long time, the vast potential of Dynamic and Parti...
This paper exhaustively explores the potential energy efficiency improvements of Dynamic and Partial...
The dynamism inside applications can be exploited to save energy. A proactive scheduler that exploit...
In this paper, we propose an optimal scheduling scheme that minimizes the energy consumption of a re...
This paper presents a new technique to improve the efficiency of data scheduling for multi-context r...
Multicore processors promise higher throughput at lower power consumption than single core processor...
This article presents a survey of energy-aware scheduling algorithms proposed for real-time systems....
Heterogeneous and configurable multicore systems provide hardware specialization to meet disparate a...
Multicore processors deliver a higher throughput at lower power consumption than unicore processors....
This paper presents an energy-aware method to schedule multiple real-time tasks in multiprocessor sy...
Abstract—As application complexity increases, modern embedded systems have adopted heterogeneous pro...
International audienceAn online, real-time scheduler is proposed to minimize the power consumption o...
In this paper, we combine coarse-grained software pipelining with DVS (Dynamic Voltage/Frequency Sca...
High-performance computing platforms have become critical in meeting the demands of modern computing...