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Parallel Architectures, Algorithms and Programming, International Symposium on (2011)
Tianjin, China
Dec. 9, 2011 to Dec. 11, 2011
ISBN: 978-0-7695-4575-2
pp: 208-212
ABSTRACT
Hybrid approach for scheduling on multicore processors that can effectively integrate the advantage of global scheduling and partitioning scheduling, becoming one of the hottest issues in real-time scheduling. Meanwhile, different from single-core, multicore architecture in the form of a variety of hierarchical shared caches, efficient cache usage on multicore platforms can greatly improve the scheduling efficiency. This paper proposes an improved hybrid approach for scheduling real-time tasks on multicore platforms, a multicore platform is partitioned into clusters that share a L2 cache, tasks which access a common region of memory are statically assigned to a same cluster, and those task are encouraged to co-scheduling in those cluster using improved global EDF algorithm. Simulation shows that this algorithm can improve the cache performance.
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CITATION
Yan Wang, Lida Huang, Renfa Li, Rui Li, "A Shared Cache-Aware Hybrid Real-Time Scheduling on Multicore Platform with Hierarchical Cache", Parallel Architectures, Algorithms and Programming, International Symposium on, vol. 00, no. , pp. 208-212, 2011, doi:10.1109/PAAP.2011.68
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