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DATA VOLUME SCULPTOR FOR DEEP LEARNING ACCELERATION

机译:用于深度学习加速的数据卷雕塑家

摘要

A device include on-board memory, an applications processor, a digital signal processor (DSP) cluster, a configurable accelerator framework (CAF), and at least one communication bus architecture. The communication bus communicatively couples the applications processor, the DSP cluster, and the CAF to the on-board memory. The CAF includes a reconfigurable stream switch and data volume sculpting circuitry, which has an input and an output coupled to the reconfigurable stream switch. The data volume sculpting circuitry receives a series of frames, each frame formed as a two dimensional (2D) data structure, and determines a first dimension and a second dimension of each frame of the series of frames. Based on the first and second dimensions, the data volume sculpting circuitry determines for each frame a position and a size of a region-of-interest to be extracted from the respective frame, and extracts from each frame, data in the frame that is within the region-of-interest.
机译:设备包括板载存储器,应用处理器,数字信号处理器(DSP)集群,可配置的加速器框架(CAF)和至少一个通信总线架构。通信总线通信地将应用处理器,DSP集群和CAF耦合到车载存储器。 CAF包括可重新配置的流式交换机和数据容量雕刻电路,其具有耦合到可重新配置的流开关的输入和输出。数据量雕刻电路接收一系列帧,每个帧形成为二维(2D)数据结构,并确定一系列帧的每个帧的第一维度和第二维度。基于第一和第二维度,数据容量雕刻电路确定每个帧的位置和感兴趣区域的大小,以从相应的帧提取,并从每个帧中提取在帧内的帧中的数据区域地区。

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