A Mean Value Analysis Multiprocessor Model Incorporating
نویسندگان
چکیده
Several approximate Mean Value Analysis (MVA) shared memory multiprocessor models have been developed and used to evaluate a number of system architectures. In recent years, the use of superscalar processors, multilevel cache hierarchies, and latency tolerating techniques has signi cantly increased the complexity of multiprocessor system modeling. We present an analytical performance model which extends previous multiprocessor MVA models by incorporating these new features and in addition, increases the level of modeling detail to improve exibility and accuracy. The extensions required to analyze the impact of these new features are described in detail. We then use the model to demonstrate some of the tradeo s involved in designing modern multiprocessors, including the impact of highly superscalar architectures on the scalability of multiprocessor systems.
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A Mean Value Analysis Multiprocessor Model Incorporating Superscalar Processors and Latency Tolerating Techniques 1
Several approximate Mean Value Analysis (MVA) shared memory multipro-cessor models have been developed and used to evaluate a number of system architectures. In recent years, the use of superscalar processors, multilevel cache hierarchies, and latency tolerating techniques has signiicantly increased the complexity of multiprocessor system modeling. We present an analytical performance model whi...
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