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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/420219
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