Correlation-based critical path predictors for low power microprocessors

Recent studies show that the speed of microprocessors can be accelerated if we can identify which instructions are critical. Exploiting information regarding instruction criticality is effective not only for improving processor performance but also for improving energy efficiency. In this paper, we propose three critical path predictors in order to identify critical instructions. Experimental results demonstrate the future research direction of our approach.