NVIDIA had 70 patents in edge computing during Q4 2023. NVIDIA Corp’s Q4 2023 patents include methods for efficient light contribution determination in rendering, identifying inefficiencies in workloads, predicting errors in processing units using machine learning, detecting and classifying audio alerts of emergency response vehicles, and transferring large files over a network using a client-server framework with QUIC connection and HTTP/3 messages. GlobalData’s report on NVIDIA gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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NVIDIA grant share with edge computing as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Light importance caching using spatial hashing in real-time ray tracing applications (Patent ID: US20230419590A1)
The patent filed by NVIDIA Corp. describes a method for determining and caching light contribution information for rendering image frames in a scene. The method involves segmenting the virtual environment into spatial regions, such as octahedral voxels, and computing average light contributions for each voxel using cast light rays. A cumulative distribution function is built for each voxel based on these values to select lights to sample during rendering efficiently, based on the number and contributions of contributing lights. This approach is bandwidth and cache efficient while maintaining high image quality.
The patent further details a computer-implemented method, a processor, and a system for implementing this technique. The method involves segmenting the environment, determining rays to sample based on light values, building cumulative distribution functions, and rendering images using updated illumination information. The processor and system described in the patent are designed to efficiently render images of virtual environments by sampling rays for spatial regions based on light information, utilizing spatial hashing algorithms, and considering average light contributions and directional magnitudes of light sources. The system can be applied in various contexts, including simulation operations, autonomous machine applications, light transport simulation, rendering graphical output, deep learning operations, virtual reality content generation, and cloud computing resources utilization.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
