Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks

CoRR, 2019.

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Abstract:

CPU branch prediction has hit a wall--existing techniques achieve near-perfect accuracy on 99% of static branches, and yet the mispredictions that remain hide major performance gains. In a companion report, we show that a primary source of mispredictions is a handful of systematically hard-to-predict branches (H2Ps), e.g. just 10 static...More

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