Energy-Efficient Scheduling of Real-Time Tasks on Cluster-Based Multicores

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Provided by: edaa
Topic: Hardware
Format: PDF
While much work has addressed the energy-efficient scheduling problem for uni-processor or multiprocessor systems, little has been done for multicore systems. The authors study the multicore architecture with a fixed number of cores partitioned into clusters (or islands), on each of which all cores operate at a common frequency. They develop algorithms to determine a schedule for real-time tasks to minimize the energy consumption under the timing and operating frequency constraints. As technical contributions, they first show that the optimal frequencies resulting in the minimum energy consumption for each island is not dependent on the workload mapped but the number of cores and leakage power on the island, when not considering the timing constraint.
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