Graphics processing unit (GPU) designs usually adopts various computer architecture techniques to boost the computation speed, including single-instruction multiple data (SIMD), very-long-instruction word (VLIW), multi-threading, and/or multi-core. In OpenGL ES 2.0, user programmable vertex shader (VS) hardware unit can be designed using vectored SIMD computation unit so that it can efficiently compute the matrix-vector multiplication, one of the key operations in vertex transformation. Recently, high-performance GPU, such as Telsa series from nVidia, is designed with many-core architectures with each core responsible for scalar operations. The intention is to allow for efficient execution of general-purpose computations in addition to the specialized graphics computations. In this thesis, we design a scalar-based multi-threaded GPU design that is composed of four scalar processors, one special-function unit, and can execute multi-threaded instructions. We use the example of vertex transformation to demonstrate execution efficiency of the scalar-based multi-threaded GPU. We also make comparison with the vector-based SIMD GPU.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0906111-035109 |
| Date | 06 September 2011 |
| Creators | Yeh, Chia-Yu |
| Contributors | Chung-Ho Chen, Shen-Fu Hsiao, Yun-Nan Chang, Shiann-Rong Kuang, Ming-Chih Chen |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-035109 |
| Rights | user_define, Copyright information available at source archive |
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