Abstract:
A processor, including: an execution unit including branching circuitry; a branch predictor, including a hard-to-predict (HTP) branch filter to identify an HTP branch; and a special branch predictor to receive identification of an HTP branch from the HTP branch filter, the special branch predictor including a convolutional neural network (CNN) branch predictor to predict a branching action for the HTP branch.
Abstract:
A processor includes a front end to decode an instruction, an allocator to pass the instruction to a nearest neighbor logic unit (NNLU) to execute the instruction, and a retirement unit to retire the instruction. The NNLU includes logic to determine input of the instruction for which nearest neighbors will be calculated, transform the input, retrieve candidate atoms for which the nearest neighbors will be calculated, compute distance between the candidate atoms and the input, and determine the nearest neighbors for the input based upon the computed distance.
Abstract:
Some embodiments include apparatus and methods having an input to receive an input signal, additional inputs to receive clock signals having different phases to sample the input signal, and a decision feedback equalizer (DFE) having DFE slices. The DFE slices include a number of data comparators to provide data information based on the sampling of the input signal, and a number of phase error comparators to provide phase error information associated with the sampling of the input signal. The number of phase error comparators of the DFE slices is not greater than the number of data comparators of the DFE slices.