Title page for etd-0728114-134846


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URN etd-0728114-134846
Author Kai-hsiang Tsao
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2013
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Performance Optimization and Low Power Design of a Programmable 3D Graphics Processor
Date of Defense 2014-07-29
Page Count 170
Keyword
  • OpenGL
  • Graphics
  • SIMD
  • Processing
  • Hazard
  • Architecture
  • Forwarding
  • Low Power
  • GPU
  • Abstract Low-Power High-Speed graphics processing unit (GPU) is one of the key hardware components in modern mobile devices such as smart phones. In this thesis, we present several methods to improve the execution performance and reduce the power of a previously designed programmable GPU for OpenGL ES 2.0 specification in computer graphics. The GPU has a vectored and single-instruction-multiple-data (SIMD) architecture that can execute a maximum of four concurrent scalar operations, and supports the functions of swizzle and write mask. Besides, a special function unit (SFU) is included in the GPU to compute complicate arithmetic functions such as reciprocal square-root, logarithm and exponential. As per performance improvements, we add the hazard control and data forwarding mechanism in the GPU architecture in order to reduce the stalls caused by data dependency. Furthermore, the execution pipeline is re-designed so that the number of execution pipeline stages is reduced with more balanced delay in each pipelined stage. For power reduction, we propose several methods to disenable some execution and memory units that are not used for some instructions. According to the experimental results, the new GPU designs have significant improvement in performance and power.
    Advisory Committee
  • Chuen-Yau Chen - chair
  • Jih-Ching Chiu - co-chair
  • Shiann-Rong Kuang - co-chair
  • Ming-Chih Chen - co-chair
  • Shen-Fu Hsiao - advisor
  • Files
  • etd-0728114-134846.pdf
  • Indicate in-campus at 1 year and off-campus access at 3 year.
    Date of Submission 2014-08-28

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