OPENGL GPU Architecture and Implementation of Line Rasterization

The GPU has become an essential block for the embedded system devices. The GPUs main purpose is to accelerate the rendering of images, animations and videos. This process is essential for many devices such as smart phones, tablets, and gaming devices. This book introduces CUGPU, the Cairo University GPU, architecture based on Common-Lite (CL) prole of the Open Graphics Library for Embedded System 1.1 (OpenGL ES 1.1). CUGPU provides high-performance support of the xed-function 3D graphics pipeline. Moreover, CUGPU can be integrated with the Cairo University SPARC (CUSPARC) processor into a complete embedded system. Two designs of the line rasterization algorithm were implemented using VHDL code and synthesized at the TSMC 65 nm low power technology node. The first design scores a typical clock frequency of 270 MHz and an area of 0.088 mm2. The second design scores a typical clock frequency of 200 MHz and an area of 0.052 mm2.

Ahmed Khalil received the B.S. and M.S. degrees from the Electronics and Communications Engineering Department, Cairo University, Egypt, in 2011 and 2015, respectively. From 2012 to 2015, he was a teaching assistant at the same department. Currently, he is a PhD student at school of computer engineering, Nanyang Technological University, Singapore.