2005Unpublished venueRequires access

WCRT analysis for a uniprocessor with a unified prioritized cache

Yudong Tan, Vincent J. Mooney

Open publisher page 9 citations

Abstract

In this paper, we investigate the problem of inter-task cache interference in preemptive multi-tasking real-time systems. A prioritized cache is used to reduce cache conflicts among tasks by partitioning the cache. Cache partitions are assigned to tasks according to their priorities. We extend a known tool, SYMTA, in order to estimate the Worst Case Execution Time of tasks executing on a uniprocessor with a unified prioritized L1 cache. Furthermore, we apply a formal timing analysis approach to estimate the Worst Case Response Time of tasks using the prioritized cache. The prioritized cache is compared to a conventional set associative cache of the same size. Our experiments show that the WCRT estimate can be reduced up to 50% when a prioritized cache is used.

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What this paper is about

In this paper, we investigate the problem of inter-task cache interference in preemptive multi-tasking real-time systems. A prioritized cache is used to reduce cache conflicts among tasks by partitioning the cache. Cache partitions are assigned to tasks according to their priorities. We extend a known tool, SYMTA, in order to estimate the Worst Case Execution Time of tasks executing on a uniprocessor with a unified prioritized L1 cache. Furthermore, we apply a formal timing analysis approach to estimate the Worst Case Response Time of tasks using the prioritized cache. The prioritized cache is compared to a conventional set associative cache of the same size. Our experiments show that the WCRT estimate can be reduced up to 50% when a prioritized cache is used.

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Available abstract

In this paper, we investigate the problem of inter-task cache interference in preemptive multi-tasking real-time systems. A prioritized cache is used to reduce cache conflicts among tasks by partitioning the cache. Cache partitions are assigned to tasks according to their priorities. We extend a known tool, SYMTA, in order to estimate the Worst Case Execution Time of tasks executing on a uniprocessor with a unified prioritized L1 cache. Furthermore, we apply a formal timing analysis approach to estimate the Worst Case Response Time of tasks using the prioritized cache. The prioritized cache is compared to a conventional set associative cache of the same size. Our experiments show that the WCRT estimate can be reduced up to 50% when a prioritized cache is used.

Key concepts: Cache, Cache algorithms, Computer science, Cache coloring, Uniprocessor system, Cache invalidation, Smart Cache, Cache pollution

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