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Accelerating 3D Graphics Performance with EGL Image on Zynq UltraScale+ MPSoC
Each new generation of devices comes with an expectation of better performance and user experience. An indicator of performance, that is perhaps the most easily observed by the average consumer, is the performance of 2-D and 3-D graphics, and thus, graphics performance capabilities have become paramount to the success of a new device. In OpenGL ES Images, which are referred to as textures, are transposed over the surfaces of these triangles, as determined by the application. Hundreds or thousands of these textured triangles sum to form a scene that represents anything a developer or artist could imagine. While textures can originally exist in a variety of different formats, they ultimately exist as raw, uncompressed, color data in memory before they are applied to an object. With high quality display resolution, the need for higher resolution textures also increases. Equation below shows that a 32-bit texture the size of a 1080p display would require almost eight megabytes of memory. 1920 xres * 1080 yres * 32bpp = ~7.9 MB In order to use sequences of rapidly updating textures to create animation, GPU has to draw a texture on an object, which must exist in a special area of system memory called video RAM (VRAM). VRAM is technically just regular system memory, but it exists within a predetermined address range. This consumes significant memory bandwidth and various other system resources. Furthermore, this method was never intended to support animation. This Paper presents an alternative to calling glTexImage2D to place a texture into VRAM is to make use of EGL Images on Zynq UltraScale+ MPSoC . EGL Images are an OpenGL ES extension, to allow for the sharing of image data between two processes. OpenGL ES is very lenient with what it allows developers to do with EGL Images, and thus, developers are burdened with slightly more responsibility in exchange for increased flexibility. Comments: Focus is on providing interesting, unbiased technical content relevant to attendees.
--- Datum: 01.03.2018 Uhrzeit: 12:00 Uhr - 12:30 Uhr Ort: Conference Counter NCC Ost