A Unified Framework for Quantitative Cache Analysis

March 20, 2025 Β· Declared Dead Β· πŸ› IEEE Real Time Technology and Applications Symposium

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Authors Sophie Kahlen, Jan Reineke arXiv ID 2503.16588 Category cs.PL: Programming Languages Citations 1 Venue IEEE Real Time Technology and Applications Symposium Last Checked 4 months ago
Abstract
In this work we unify two existing lines of work towards cache analysis for non-LRU policies. To this end, we extend the notion of competitiveness to block competitiveness and systematically analyze the competitiveness and block competitiveness of FIFO and MRU relative to LRU for arbitrary associativities. We show how competitiveness and block competitiveness can be exploited in state-of-the-art WCET analysis based on the results of existing persistence analyses for LRU. Unlike prior work, our approach is applicable to microarchitectures that exhibit timing anomalies. We experimentally evaluate the precision and cost of our approach on benchmarks from TACLeBench. The experiments demonstrate that quantitative cache analysis for FIFO and MRU comes close to the precision of LRU.
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