Current branch prediction algorithms are highly accurate but ... a machine learning model that can fit into the processor architecture, considering size, complexity, latency, and power consumption.

Branch prediction is a ... We are going to analyze several algorithms for branch predictions in our first phase i.e. PHASE Φ. In order to support our analysis we are going to construct our own ...

This paper proposes a hierarchical branch prediction architecture (HBPA), within which complex or time-consuming algorithms and overlarge branch target buffers are moved from the front-end of ...

The project contains a program that applies four differnet branch prediction algorithms to a program run trace and give the accuracy of the chosen prediction model along with its branch target buffer.

The branch predictors like 2-level and bimodal have relatively lesser accuracy compared to a nerual based branch predictor. Hence we use th SimpleScalar tool to implement a perceptron algorithm to ...