We present a high-level cache performance-estimation framework for out-of-order processors. Evaluation shows that our prediction method is on average 15 times faster than cycle-accurate simulation, while our estimates only show an average error of below 3.5%, reduce the pessimism of a naive high-level performance estimation by around 66%, and still maintain a high fidelity. Our approach thus enables quick yet accurate performance estimation and extends the applicability of system-level DSE to out-of-order processors with caches.
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