基于AXI总线复用的DMA数据传输结构设计

Design of DMA data transmission structure based on AXI bus multiplexing

常规多通道DMA数据传输结构应用在多传感器接入式人工智能平台时,随着传感器类型和数量的增加,在通道协议转换、AXI总线扩展过程中会消耗大量的FPGA逻辑和存储资源,容易产生逻辑拥塞,增加工具布线难度。与此同时,封闭式的AXI系统缺乏对通道差异控制的灵活性,难以适应人工智能平台多模式数据传输需求。因此,设计了一种AXI总线复用方式的DMA数据传输结构,该设计可以极大地缩减AXI总线数量,降低FPGA资源消耗和工具布线用时,方便地引入附加逻辑实现多模式DMA数据传输,为人工智能平台提供灵活高效的多源数据获取机制。

When the conventional multi-channel DMA data transmission structure is applied to the multi-sensor connected artificial intelligence platform,with the increase of sensor type and quantity,a lot of FPGA logic and storage resources will be consumed in the process of channel protocol conversion and AXI bus extension,which will easily lead to logic congestion and increase the difficulty of tool routing.At the same time,the closed AXI system lacks the flexibility of channel differential control,and it is difficult to adapt to the multi-mode data transmission requirements of artificial intelligence platform.Therefore,a DMA data transmission structure with AXI bus multiplexing mode is designed,which can greatly reduce the number of AXI buses,reduce FPGA resource consumption and tool routing time,conveniently fit additional logic to realize multi-mode DMA data transmission,and provide a flexible and efficient multi-source data acquisition mechanism for artificial intelligence platform.