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The nonuniform distribution of instruction-level and machine parallelism and its effect on performance

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1 Author(s)
Jouppi, N.P. ; Digital Equipment Corp., Palo Alto, CA, USA

A methodology for quickly estimating machine performance is developed. A first-order estimate is based on the average degree of machine parallelism. A second-order model corrects for the effects of nonuniformities in instruction-level and machine parallelism and is shown to be accurate to within 15% for three widely different machine pipelines: the CRAY-1, the MultiTitan, and a dual-issue superscalar machine

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Computers, IEEE Transactions on  (Volume:38 ,  Issue: 12 )