Control Flow Modeling in Statistical Simulation for Accurate and Efficient Processor Design Studies

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Provided by: University of Texas at Arlington
Topic: Hardware
Format: PDF
Designing a new microprocessor is extremely time-consuming. One of the contributing reasons is that computer designers rely heavily on detailed architectural simulations, which are very time-consuming. Recent paper has focused on statistical simulation to address this issue. The basic idea of statistical simulation is to measure characteristics during program execution, generate a synthetic trace with those characteristics and then simulate the synthetic trace. The statistically generated synthetic trace is orders of magnitude smaller than the original program sequence and hence results in significantly faster simulation.
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