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http://dx.doi.org/10.7471/ikeee.2017.21.3.276

Implememtation of Fast Rasterizer processing using GPGPU based on SIMT structure  

Kim, Chiyong (Dept. of Computer Science, Seokyeong University)
Publication Information
Journal of IKEEE / v.21, no.3, 2017 , pp. 276-279 More about this Journal
Abstract
In this paper, SIMT structure based GPGPU (General Purpose Computing on Graphics Processing Units) is used for accelerating the Rasterizer which constitutes the screen of the display device in pixel unit. The GPU has a large number of ALUs, and the processing is very fast because of parallel processing. Therefore, in this paper, we implemented a rasterizer that generates a 3D graphics model using a CPU that performs operations sequentially and a GPU that performs operations in parallel. We confirmed that proposed rasterizer in this paper is 1.45 times better than rasterizer using Intel CPU when generating one frame.
Keywords
3D Graphic processing; Rasterization; GPGPU; thread; SIMT;
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  • Reference
1 Kwanho Lee, "A Design of a SIMT architecture base GP-GPU based for parallel acceleration of algorithms", Master thesis, Seokyeong University, 2017
2 Kwanho Lee, Chi-yong Kim, "A Design of a High Performance Stream Processor without Superscalar Architecture", j.inst.Korean.electr.electron.eng, Vol 21. No 1.
3 Kwanho Lee, Chi-yong Kim, "Thread Distribution Method of GP-GPU for Accelerating Parallel Algorithms", j.inst.Korean.electr.electron.eng, Vol 21. No 2.
4 Dohyun Kim, "A Design of a Multi-threaded Graphic Pipeline and Rasterizer for accelerating GP-GPU", Master thesis, Seokyeong University, 2016
5 http://www.xilinx.com