Cache Modeling for Timing Analysis in RealTime Systems,Used

Cache Modeling for Timing Analysis in RealTime Systems,Used

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SKU: DADAX3844384707
Brand: LAP Lambert Academic Publishing
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Caches in Embedded Systems improve average case performance, but they are a source of unpredictability, especially in the worst case software timing analysis with the consideration of data caches. This is a critical problem in realtime systems, where tight Worst Case Execution Time (WCET) is required for their schedulability analysis. Few works have studied data cache impacts on the WCET of programs, but only for programs with no inputdependent data accesses. To provide an efficient and accurate analysis for inputdependent data accesses, we develop classified cache architecture and a WCET framework for the architecture. Our work classifies predictable and unpredictable accesses, then allocates them into predictable caches and unpredictable caches accordingly, and uses CME (Cache Miss Equations) and our reusedistancebased algorithm for their timing analysis respectively. Compared with simulation, our analysis framework produces a very good WCET tightness, and our architecture creates almost no hardware overhead or performance degradation. In addition, we examine NPcompleteness of WCET analysis. We also explore data allocation techniques to improve system performance.

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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

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