In high-performance computing systems, efficient energy management is a key feature for keeping energy bills low and avoiding thermal dissipation problems, as well as for controlling the application performance. This paper considers the problem of partitioning and scheduling a set of real-time tasks on a realistic hardware platform consisting of a number of homogeneous processors. Several well-known heuristics are compared to identify the approach that better reduces the overall energy consumption of the entire system. Despite the actual state Another well-known approach is the Dynamic Power Man- of art, the approach which minimizes the number of active cores is the most energy efficient.
On the Energy-Aware Partitioning of Real-Time Tasks on Homogeneous Multi-Processor Systems
BAMBAGINI, MARIO;LELLI, JURI;BUTTAZZO, Giorgio Carlo;LIPARI, Giuseppe
2013-01-01
Abstract
In high-performance computing systems, efficient energy management is a key feature for keeping energy bills low and avoiding thermal dissipation problems, as well as for controlling the application performance. This paper considers the problem of partitioning and scheduling a set of real-time tasks on a realistic hardware platform consisting of a number of homogeneous processors. Several well-known heuristics are compared to identify the approach that better reduces the overall energy consumption of the entire system. Despite the actual state Another well-known approach is the Dynamic Power Man- of art, the approach which minimizes the number of active cores is the most energy efficient.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
