We present a new neural branch predictor that solves the problem from both directions: it is both more accurate and much faster than previous neural predictors.
Our simulations show that a path-based neural predictor improves the instructions-per-cycle (IPC) rate of an aggressively clocked microarchitecture by 16% over ...
A branch predictor allows the processor to speculatively fetch and execute instructions down the predicted path. Speculative execution. Branch predictors must ...
We present a newneural branch predictor that solves the problem from bothdirections: it is both more accurate and much faster thanprevious neural predictors.
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The following Java files simulate the fast path-nased neural branch predictor described in my MICRO 2003 paper. The driver program accepts a sequence of traces ...
We present a new neural branch predictor that solves the problem from both directions: it is both more accurate and much faster than previous neural predictors.
Implementation of "Fast Path-Based Neural Branch Prediction" as proposed by Daniel A. Jiménez - swappad/FastPathBP.
The Fast Path-Based Neural Branch Prediction can reach 5% to 7% percent misprediction depending on the “hardware budget”.
Fast Path-Based Neural Branch Prediction Daniel A. Jimenez. Presented by: Ioana Burcea. Outline. Research motivation; Neuran prediction: perceptron prediction ...
Book chapter. FPGA organization for the fast path-based neural branch predictor. Cadenas, O., Megson, G.M. and Jones, D.J. 2005. FPGA organization for the ...