To achieve high accuracy, O-GEHL relies on large tables and extensive computations and requires high energy and long prediction delay.In this work we propose ...
To achieve high accuracy, O-GEHL re- lies on large tables and extensive computations and requires high energy and long prediction delay. In this work we propose ...
May 7, 2007 · two optimization methods for the O-GEHL branch predictor. First, we reduce the computation complexity associated with making predictions.
Bibliographic details on Computational and storage power optimizations for the O-GEHL branch predictor.
As neural inspired predictors [5, 2], the O-GEHL predictor does not use storage based metapredictors, but computes the prediction through an adder tree.
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In this paper, we introduce and analyze the Optimized. GEometric History Length (O-GEHL) branch Predictor that efficiently exploits very long global histories ...
Computational and storage power optimizations for the o-gehl branch predictor. K Aasaraai, A Baniasadi, E Atoofian. Proceedings of the 4th international ...
Computational and storage based power and performance optimizations for highly accurate branch predictors relying on neural networks · Kaveh Aasaraai. Computer ...
for the predictor. Chapter 4 addresses computational and storage redundancies in the O-GEHL branch predictor and discusses power optimizations for this ...
Any gain in branch prediction accuracy results in performance gain and power consumption gain ... Spends most of the storage for short history !! 8.