Location of Repository

The Cascaded Predictor: Economic and Adaptive Branch Target Prediction

By Karel Driesen and Urs Hölzle


Two-level predictors improve branch prediction accuracy by allowing predictor tables to hold multiple predictions per branch. Unfortunately, the accuracy of such predictors is impaired by two detrimental effects. Capacity misses increase since each branch may occupies entries proportional to the number of different path histories leading up to the branch. The working set of a given program therefore increases with history length. Similarly, cold start misses increase with history length since the predictor must initially store a prediction separately for each history pattern. We describe a new predictor architecture, cascaded branch prediction, which can alleviate both of these effects while retaining the superior accuracy of two-level predictors. Cascaded predictors dynamically classify and predict easily predicted branches using an inexpensive predictor, preventing insertion of these branches into a more powerful second stage predictor. We show that for pathbased indirect branch pr..

Year: 1998
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.cs.ucsb.edu/TRs/Doc... (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.