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Design of Embedded Graphics Processing Unit Based on ARM and FPGA

Author: FanCaiXia
Tutor: WuNing
School: Nanjing University of Aeronautics and Astronautics
Course: Circuits and Systems
Keywords: Graphics Processing Unit GPU graphics hardware graphics pipeline graphics systems S3C2410 FPGA Device Driver
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 96
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With the continuing growing demands of graphics processing ability in Embedded Systems, a CPU will be overloaded if it needs to process all the graphics tasks as well as other control tasks for the entire system. And sometimes the graphics program is so complex that it becomes impossible for CPU to execute in real time for the interactive requirements. To deal with this difficult situation, GPU has been introduced to enhance rendering speed and free CPUs from complex graphics computation task. So researching and designing GPUs suitable for embedded systems makes great sense under this trend.The thesis mainly focuses on the improving of the graphics processing unit RTL model, the design of hardware platforms for GPU based on ARM and FPGA, the driver development for the system and the application program development.The thesis firstly reviews the history of GPUs, briefly introduces the structure of the graphics system and the requirements of its function. After an intensive study of computer graphics and related algorithms, this paper analyses the graphics system and components of graphics pipeline, and improves the GPU RTL model according to the geometric phase and raster phase of the graphics pipeline. And then it lays out the realizement of software and hardware for the system. The kernel components of the system hardware are ARM and FPGAs, FPGA is used to implement the GPU. S3C2410 is selected as CPU, with peripheral communication interface such as UART, Ethernet and USB. LCD is used to display graphics. LCD and GPU drivers are designed based on the Windows CE driver model. OpenGL is chosen as graphics API, application program uses them to verify GPU.According to the experiment results, this embedded GPU can perform translate and rotate, projection, rasterization and so on for objects in 3D world properly. And it also gets close to the level of first-genetation GPU.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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