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- W3033227568 abstract "We show how to infer deterministic cache replacement policies using off-the-shelf automata learning and program synthesis techniques. For this, we construct and chain two abstractions that expose the cache replacement policy of any set in the cache hierarchy as a membership oracle to the learning algorithm, based on timing measurements on a silicon CPU. Our experiments demonstrate an advantage in scope and scalability over prior art and uncover two previously undocumented cache replacement policies." @default.
- W3033227568 created "2020-06-12" @default.
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- W3033227568 date "2020-06-11" @default.
- W3033227568 modified "2023-10-03" @default.
- W3033227568 title "CacheQuery: learning replacement policies from hardware caches" @default.
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- W3033227568 doi "https://doi.org/10.1145/3385412.3386008" @default.
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