Parallel task scheduling on multicore platforms

Authors:
James H. Anderson;John M. Calandrino
Affiliations:
Department of Computer Science, The University of North Carolina at Chapel Hill;Department of Computer Science, The University of North Carolina at Chapel Hill
Venue:
ACM SIGBED Review - Special issue: The work-in-progress (WIP) session of the RTSS 2005
Year:
2006

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Abstract

We propose a scheduling method for real-time systems implemented on multicore platforms that encourages certain groups of tasks to be scheduled together while ensuring real-time constraints. This method can be applied to encourage tasks that share a common working set to be executed in parallel, which makes more effective use of shared caches.