Impact analysis of performance faults in modern microprocessors
ICCD'09 Proceedings of the 2009 IEEE international conference on Computer design
Improving accuracy of perceptron predictor through correlating data values in SMT processors
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
On the Impact of Performance Faults in Modern Microprocessors
Journal of Electronic Testing: Theory and Applications
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Recently there are many studies of data value prediction for increasing instruction level parallelism, and it is found that data speculation affects branch prediction accuracy. Even when data dependences are speculated successfully, processor performance would be degraded if branch prediction accuracy were decreased. On the other hand, branch prediction studies are nearly matured. While it becomes very difficult to increase the accuracy, there is still a vast gap between actual and ideal processor performance. From these considerations, we investigate to combine control and data speculation. In this paper, we evaluate the correlation between control speculation and data speculation and then propose to predict branch outcomes using data value prediction.