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» Neural methods for dynamic branch prediction
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IEEEPACT
1998
IEEE
13 years 11 months ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
PLDI
2003
ACM
14 years 22 days ago
Optimizing indirect branch prediction accuracy in virtual machine interpreters
Interpreters designed for efficiency execute a huge number of indirect branches and can spend more than half of the execution time in indirect branch mispredictions. Branch target...
M. Anton Ertl, David Gregg
NN
2000
Springer
150views Neural Networks» more  NN 2000»
13 years 7 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
SAMOS
2007
Springer
14 years 1 months ago
Automated Power Gating of Registers Using CoDeL and FSM Branch Prediction
In this paper, we use the CoDeL hardware design platform to analyze the potential and performance impact of power gating individual registers. For each register, we examine the per...
Nainesh Agarwal, Nikitas J. Dimopoulos
MICRO
2000
IEEE
133views Hardware» more  MICRO 2000»
13 years 12 months ago
Compiler controlled value prediction using branch predictor based confidence
Value prediction breaks data dependencies in a program thereby creating instruction level parallelism that can increase program performance. Hardware based value prediction techni...
Eric Larson, Todd M. Austin