GPU RDMA Network Controller Parsing Logic for Video Frame Latency
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Solution Overview
Problem
Current GPU RDMA technologies face inefficiencies in memory usage and computational overhead due to the need for CPU involvement in unpacking RTP packets, leading to increased latency and resource consumption during video frame processing.
Innovation Solution
Implementing a GPU RDMA architecture where RTP packets are unpacked and processed directly in the network controller's memory, eliminating the need for CPU involvement by using parsing logic or a dedicated co-processor to extract NALUs and store them in GPU memory for subsequent processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If CPU is involved in unpacking RTP packets for GPU RDMA operations, then data can be processed and extracted, but processing latency increases and CPU resources are consumed
Solution Approach 1:
The patent extracts the packet unpacking function from the CPU by implementing a dedicated parsing logic module within the network controller. This separate module specifically handles RTP packet unpacking and NALU extraction, removing this task from the CPU's workload and enabling parallel processing that reduces latency while maintaining throughput.
Solution Approach 2:
The patent introduces an intermediary parsing logic module between the network controller and CPU. This intermediary handles the intermediate processing of unpacking RTP packets and extracting NALUs before presenting processed data to the CPU, thereby reducing CPU involvement and processing latency while maintaining system productivity.
2Ease of operation
If CPU is involved in unpacking RTP packets, then data processing can be performed, but computational overhead increases
Solution Approach 1:
The patent implements self-service by enabling the network controller to autonomously unpack RTP packets and extract NALUs through its integrated parsing logic. This self-service capability eliminates the need for CPU intervention in packet unpacking operations, reducing computational overhead and energy consumption while preserving complete data processing capability.
Solution Approach 2:
The patent extracts the computationally intensive packet unpacking operation from the CPU and relocates it to a dedicated parsing logic module in the network controller. This separation removes the computational overhead from the CPU while maintaining full data processing capability through the specialized unpacking module.
3Productivity
If RTP packets are unpacked in network controller memory, then CPU involvement is eliminated, but additional memory management requirements are introduced
Solution Approach 1:
The patent merges the packet unpacking functionality with the network controller's existing memory management capabilities. By integrating parsing logic within the network controller that operates directly on received packets in its memory, the system eliminates CPU involvement and reduces the need for additional separate memory management mechanisms, thereby improving efficiency without significantly increasing complexity.
Data Source
AI summary
Disclosed are apparatuses, systems, and techniques that improve memory and computational efficiency of remote direct memory accesses into a memory of a graphics processing unit. The techniques include but are not limited to receiving packets with video frame data, storing the plurality of packets in a memory of a network controller, processing the packets to obtain unit(s) of the video frame, storing the unit(s) representative of the video frame in a memory of a graphics processing unit (GPU), and extracting the data of the video frame from the units representative of the video frame, stored in the memory of the GPU, to render the video frame.