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System and method for parallelizing and speeding up training and classification of learning machines using massively parallel accelerators

机译:使用大规模并行加速器来并行化和加速学习机的训练和分类的系统和方法

摘要

A method system for training an apparatus to recognize a pattern includes providing the apparatus with a host processor executing steps of a machine learning process; providing the apparatus with an accelerator including at least two processors; inputting training pattern data into the host processor; determining coefficient changes in the machine learning process with the host processor using the training pattern data; transferring the training data to the accelerator; determining kernel dot-products with the at least two processors of the accelerator using the training data; and transferring the dot-products back to the host processor.
机译:一种用于训练设备识别模式的方法系统,包括为该设备提供执行机器学习过程的步骤的主处理器;为该设备提供加速器,该加速器包括至少两个处理器;将训练模式数据输入到主机处理器中;使用训练模式数据,在与主机处理器的机器学习过程中确定系数变化;将训练数据传输到加速器;使用训练数据,用加速器的至少两个处理器确定核点积;并将点积传送回主机处理器。

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