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{"gt_parse": {"c2t": "The block diagram illustrates a data flow between three nodes, presumably within a computing system that utilizes GPU acceleration and a publish-subscribe messaging pattern.1. On the left, we have a NITROS node which is connected to a my CUDA node through a dashed arrow labeled image and GPU zero-copy. This indicates that the NITROS node is sending an image to the CUDA node using a GPU zero-copy method, which is a technique to share memory between the GPU and CPU without the need to copy data between them, thus saving time and resources.2. The my CUDA node is in the center and is highlighted in purple, distinguishing it from the NITROS nodes. It has two labels: subscriber and publisher, suggesting that this node subscribes to data from one source (the left NITROS node) and publishes data to another (the right NITROS node). This node likely performs some processing on the image data using CUDA, which is a parallel computing platform and application programming interface model created by Nvidia.3. On the right, there is another NITROS node which is connected to the my CUDA node through another dashed arrow labeled image and GPU zero-copy. This indicates that the processed image data is being sent from the CUDA node to this NITROS node, again using the GPU zero-copy method.The overall flow of data starts at the left NITROS node, goes through the CUDA node for processing, and ends up at the right NITROS node. The use of GPU zero-copy for both the input and output suggests that the system is designed for high performance and efficiency, minimizing the overhead of data transfer between nodes."}}