Early performance estimation of super scalar machine models

Abstract

This paper presents a new methodology for estimating the performance of high-performance machine models with concurrent, pipelined execution modes. Such performance assessment is typically useful at early stages of the design cycle. Critical design decisions made with the aid of early estimators of the kind discussed in this paper, can be expected to yield near-optimal final designs.