An Approximation Scheme for Energy-Efficient Scheduling of Real-Time Tasks in Heterogeneous Multiprocessor Systems

Provided by: edaa
Topic: Hardware
Format: PDF
As application complexity increases, modern embedded systems have adopted heterogeneous processing elements to enhance the computing capability or to reduce the power consumption. The heterogeneity has introduced challenges for energy efficiency in hardware and software implementations. This paper studies how to partition real-time tasks on a platform with heterogeneous processing elements (processors) so that the energy consumption can be minimized. The power consumption models considered in this paper are very general by assuming that the energy consumption with higher workload is larger than that with lower workload, which is true for many systems.

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