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Statistical simulation is a technique for fast performance evaluation of superscalar processors. First, intrinsic statistical information is collected from a single detailed simulation of a program. This information is then used to generate a synthetic instruction trace that is fed to a simple processor model, along with cache and branch prediction statistics. Because of the probabilistic nature of the simulation, it quickly converges to a performance rate. The simplicity and simulation speeddoi:10.1109/pact.2001.953284 dblp:conf/IEEEpact/NussbaumS01 fatcat:e277cdlnb5b7da2uzcd5pxduqe