I-DMAC: An Intelligent DMA Controller for Utilization - Aware Video Streaming used in AI Applications

P. Shukla, P. Shukla
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引用次数: 1

Abstract

The interpretation of large data streams necessitates high-performance repeated transfers, which overload Microprocessor System on Chips (SoC). The effective direct memory access (DMA) controller performs bulk data transfers without the CPU's involvement. The Direct Memory Controller (DMAC) solves this by facilitating bulk data transfer and execution. In this work, we created an intelligent DMAC (I-DMAC) for accessing video processing data without using CPUs. The model includes Bus selection Module, User control signal, Status Register, DMA supported Address, and AXI-PCI subsystems for improved video frame analysis. These modules are experimentally verified in Xilinx FPGA SoC architecture using VHDL code simulation and results compared to the E-DMAC model.
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I-DMAC:用于人工智能应用中使用的利用率感知视频流的智能DMA控制器
大数据流的解释需要高性能的重复传输,这会使微处理器片上系统(SoC)过载。有效的直接内存访问(DMA)控制器在没有CPU参与的情况下执行批量数据传输。直接内存控制器(DMAC)通过促进批量数据传输和执行来解决这个问题。在这项工作中,我们创建了一个智能DMAC (I-DMAC)来访问视频处理数据,而不使用cpu。该模型包括总线选择模块、用户控制信号、状态寄存器、DMA支持地址和用于改进视频帧分析的axis - pci子系统。这些模块在Xilinx FPGA SoC架构中进行了实验验证,使用VHDL代码进行仿真,结果与E-DMAC模型进行了比较。
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