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Shared Virtual Memory and Generalized Speedup

机译:共享虚拟内存和通用加速

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Generalized speedup is defined as parallel speed over sequential speed. In thispaper the generalized speedup and its relation with other existing performance metrics, such as traditional speedup, efficiency, scalability, etc., are carefully studied. In terms of the introduced asymptotic speed, we show that the difference between the generalized speedup and the traditional speedup lies in the definition of the efficiency of uniprocessor processing, which is a very important issue in shared virtual memory machines. A scientific application has been implemented on a KSR-1 parallel computer. Experimental and theoretical results show that the generalized speedup is distinct from the traditional speedup and provides a more reasonable measurement. In the study of different speedups, various causes of superlinear speedup are also presented. High performance computing, Parallel processing, Performance evaluation, Performance metrics, Scalability, Speedup, Shared virtual memory.

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