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Hardware Random Forest: Low Latency, Fully Reconfigurable Ensemble Classification

机译:硬件随机森林:低延迟,完全可重新配置的集成分类

摘要

Systems, methods, computer program products, and apparatuses for low latency, fully reconfigurable hardware logic for ensemble classification methods, such as random forests. An apparatus may comprise circuitry for an interconnect and circuitry for a random forest implemented in hardware. The random forest comprising a plurality of decision trees connected via the interconnect, each decision tree comprising a plurality of nodes connected via the interconnect. A first decision tree of the plurality of decision trees comprising a first node of the plurality of nodes to: receive a plurality of elements of feature data via the interconnect, select a first element of feature data, of the plurality of elements of feature data, based on a configuration of the first node, and generate an output based on the first element of feature data, an operation, and a reference value, the operation and reference value specified in the configuration of the first node.
机译:用于低延迟的系统,方法,计算机程序产品和设备,用于整体分类方法(例如随机森林)的完全可重新配置的硬件逻辑。一种设备可以包括用于互连的电路和用于以硬件实现的随机森林的电路。随机森林包括经由互连连接的多个决策树,每个决策树包括经由互连连接的多个节点。多个决策树中的第一决策树包括多个节点中的第一节点,以:经由互连接收特征数据的多个元素,从多个特征数据的元素中选择特征数据的第一元素,基于第一节点的配置,并基于特征数据的第一元素,操作和参考值,在第一节点的配置中指定的操作和参考值生成输出。

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