Confidence Estimation for Speculation Control

Modern processors improve instruction level parallelism by speculation. The outcome of data and control decisions is predicted, and the operations are speculatively executed and only committed if the original predictions were correct. There are a number of other ways that processor resources could be used, such as threading or eager execution. As the use of speculation increases, we believe more processors will need some form of speculation control to balance the benefits of speculation against other possible activities. Confidence estimation is one technique that can be exploited by architects for speculation control. In this paper, we introduce performance metrics to compare confidence estimation mechanisms, and argue that these metrics are appropriate for speculation control. We compare a number of confidence estimation mechanisms, focusing on mechanisms that have a small implementation cost and gain benefit by exploiting characteristics of branch predictors, such as clustering of ...

• Type: Conference
• Year: 1998
• Where: ISCA
• Authors: Dirk Grunwald, Artur Klauser, Srilatha Manne, Andrew R. Pleszkun
• Keywords: Confidence Estimation, Confidence Estimation Mechanisms, Hardware, ISCA 1998, Speculation Control