During the 1990s Two-level Adaptive Branch Predictors were developed to meet the requirement for accurate branch prediction in high-performance superscalar processors. However, while two-level adaptive predictors achieve very high prediction rates, they tend to be very costly. I...
We propose a new dynamic branch predictor (Two-Level Adaptive Branch Prediction) that achieves substantially higher accuracy than any other scheme reported in the literature. The mechanism uses twolevels of branch history information to make predictions, the history of the last k branches encountered,...
two-level adaptive branch predictor, branch history has been a major input vector in branch prediction, together with the address of a branch instruction... Jong,Wook,Kwak,... - 《Microprocessors & Microsystems》 被引量: 10发表: 2007年 Abstract Two-Level Adaptive Training Branch Predict ion tw...
Matysiak O, Kroemeke A, Brzezicka A (2019) Working memory capacity as a predictor of cognitive training efficacy in the elderly population. Front Aging Neurosci. https://doi.org/10.3389/fnagi.2019.00126 Article PubMed PubMed Central Google Scholar McDonough IM, Madan CR (2021) Structural comp...
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 occupy many entries, depending on the number ...
Two-level predictors improve branch prediction accuracy by allowing predictor tables to hold multiple predictions per branch. Unfortunately, the accuracy o... K Driesen,U Holzle - IEEE International Symposium on Microarchitecture 被引量: 218发表: 1998年 Using machine learning for non-intrusive modelin...
1.A new direct multi-stepadaptive predictorbased on the diagonal recurrent neural network is presented.介绍了一种基于对角回归神经网络(DRNN)的直接多步自适应预报器的设计方法。 4)parameter adaptive predicting参数自适应预报 1.The model-free learning adaptive control and itsparameter adaptive predictingwith...
geography and ancestry towards the overall pattern of among population genetic variation. Since our main result was not influenced by pruning geography that was strongly correlated with other predictor matrices (see “Methods”), here we only report the findings from using all four predictor matrices...
In contrast to isotropic kernels, non-isotropic ones give each predictor variable a distinct correlation length scale. This results in an improved accuracy at the cost of slowing down the fitting process. Artificial neural network (ANN) An artificial neural network (ANN) is an ML model inspired ...
In panel-data regressions, this index is a good predictor of mortality in climatic disasters, even after controlling for other determinants of sensitivity and exposure, and for per capita income. We conclude that our conjoint choice questions provide a novel and promising approach to eliciting ...