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Perceptron branch predictor with virtualized weights

机译:具有虚拟权重的感知器分支预测器

摘要

According to an aspect, virtualized weight perceptron branch prediction is provided in a processing system. A selection is performed between two or more history values at different positions of a history vector based on a virtualization map value that maps a first selected history value to a first weight of a plurality of weights, where a number of history values in the history vector is greater than a number of the weights. The first selected history value is applied to the first weight in a perceptron branch predictor to determine a first modified virtualized weight. The first modified virtualized weight is summed with a plurality of modified virtualized weights to produce a prediction direction. The prediction direction is output as a branch predictor result to control instruction fetching in a processor of the processing system.
机译:根据一个方面,在处理系统中提供了虚拟的重量感知器分支预测。基于将第一选择的历史值映射到多个权重中的第一权重的虚拟化映射值,在历史向量的不同位置处的两个或多个历史值之间执行选择,其中历史向量中的多个历史值大于多个权重。将第一选择的历史值应用于感知器分支预测器中的第一权重以确定第一修改的虚拟化权重。将第一修改的虚拟化权重与多个修改的虚拟化权重相加以产生预测方向。预测方向作为分支预测结果输出,以控制在处理系统的处理器中取指令。

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