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A Survey of Deep Learning Techniques for Dynamic Branch Prediction. (arXiv:2112.14911v1 [cs.AR])
Jan. 3, 2022, 2:10 a.m. | Rinu Joseph
cs.LG updates on arXiv.org arxiv.org
Branch prediction is an architectural feature that speeds up the execution of
branch instruction on pipeline processors and reduces the cost of branching.
Recent advancements of Deep Learning (DL) in the post Moore's Law era is
accelerating areas of automated chip design, low-power computer architectures,
and much more. Traditional computer architecture design and algorithms could
benefit from dynamic predictors based on deep learning algorithms which learns
from experience by optimizing its parameters on large number of data. In this
survey …
More from arxiv.org / cs.LG updates on arXiv.org
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