In recent years, as the application of large-screen display technology has deepened across various fields, the market's demand has shifted from simple single-screen displays to more interactive and integrated desktop environments. Current mainstream systems often rely on hardware-based solutions like split screens, which are costly and limited in performance. To address these challenges, this paper introduces a video display system that leverages CUDA, NVIDIA’s parallel computing architecture, to enhance real-time processing capabilities.
CUDA enables high-performance computing by utilizing GPUs alongside CPUs, significantly improving the efficiency of large-scale graphical data processing. The proposed system employs CUDA for three key tasks: image segmentation, Bezier curve fitting, and image fusion. This approach ensures high real-time performance, with a precision of 14 pixels per calculation, making it ideal for complex display applications.
The system is built on an NVIDIA GeForce GTX470 platform, using the GPU’s multi-head output feature to connect multiple projectors without additional hardware. Due to the high volume of image data and the need for real-time performance, the system incorporates both multi-CPU and CUDA-based parallel computing technologies. Each projection device is assigned a dedicated thread, ensuring full parallelism and preventing performance degradation as the number of devices increases.
A timer mechanism is used to coordinate image processing across threads, while Bezier curves are employed for image fusion. These curves allow for smooth and accurate interpolation, with their mathematical formulation based on control points. The Bezier basis function determines the shape of the curve, offering flexibility and accuracy in image transformation.
While OpenGL provides tools for generating Bezier curves, it lacks the efficiency needed for real-time applications. Instead, the system uses CUDA to perform texture mapping through parallel matrix operations, greatly enhancing speed and responsiveness. The coarse-grained nature of Bezier curve calculations makes them well-suited for GPU-based parallel processing, further improving the system’s timeliness.
Performance evaluations show that the system can process up to 35–40 frames per second using the GTX470, providing a smooth visual experience. In contrast, older GPUs like the GeForce 8800GT struggle to meet the same standards. This highlights the importance of modern GPUs in achieving real-time performance.
In conclusion, the system demonstrates how CUDA and GPU computing can revolutionize large-screen display technology. By leveraging parallel processing, the system supports scalable screen configurations and can be expanded with additional modules such as human-computer interaction or advanced rendering. This makes it a powerful solution for high-performance multimedia displays, offering users an immersive and realistic visual experience.
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