Optimal task placement to improve cache performance

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Optimal task placement to improve cache performance
Most recent embedded systems use caches to improve their average performance. Current timing analyses are able to compute safe timing guarantees for these systems, if tasks are running to completion. If preemptive scheduling is enabled, the previously computed timing guarantees no longer hold. At each program point, a preempting task might completely change the cache content. This observation has to be considered by timing analyses, which inevitably increases their complexity. Additionally, these cache-interferences influence the overall performance of such systems. The position of a task’s data determines the portion of the cache the task will occupy, and by this, the cache-interferences of the different tasks. In this paper, we present a novel method that computes an optimal taskset placement with respect to the above criteria. This means, our method modifies the starting addresses of the tasks such that the number of persistent task sets is maximized for each task. We show tha...
Gernot Gebhard, Sebastian Altmeyer
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Authors Gernot Gebhard, Sebastian Altmeyer
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