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- W2000446175 abstract "Real-time applications of future IT will continue to drive the demand for performance scaling in devices ranging from sensors to servers. Parallel processing in the form of mul-ticore and manycore architectures will also continue to be the principal route to unleashing next generation performance capabilities. To fully exploit multicore processors, real-time applications are expected to provide a large degree of parallel-ism, where real-time tasks can utilize multiple cores at the same time. Guaranteeing real-time performance, while making efficient use of multicore resources, requires a scheduling method that offers both high schedulability and effective load balancing. Many existing real-time scheduling methods for multicore systems focus on schedulability or load balancing, but not both -- each coming at the expense of the other. In this work we develop an efficient scheduling algorithm that not only guarantees real-time performance but also demonstrates effective distribution of tasks across cores. Experimental re-sults show that our method significantly outperforms state-of-the-art approaches in terms of load balancing while still providing good schedulability. We also show the benefits with respect to energy reduction that result from balanced load." @default.
- W2000446175 created "2016-06-24" @default.
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- W2000446175 date "2012-08-01" @default.
- W2000446175 modified "2023-09-24" @default.
- W2000446175 title "Load Balancing Aware Real-Time Task Partitioning in Multicore Systems" @default.
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- W2000446175 doi "https://doi.org/10.1109/rtcsa.2012.71" @default.
- W2000446175 hasPublicationYear "2012" @default.
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