Title page for etd-0630115-164853


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URN etd-0630115-164853
Author Ming-Fong Chang
Author's Email Address No Public.
Statistics This thesis had been viewed 5575 times. Download 53 times.
Department Computer Science and Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Multi-functional Multi-precision 4D Dot Product Unit with SIMD Architecture
Date of Defense 2015-07-27
Page Count 70
Keyword
  • Single Instruction Multiple Data
  • Multi-precision
  • 4D Dot Product
  • Clock Gating
  • Low Power
  • Abstract In modern graphics processing unit, the vertex shader is a quite important component. It is mainly responsible for the coordinate transformation and light’s geometric operations. When a graphics processing unit executes 3D graphics pipelining to generate a 3D image, the vertex shader usually has to perform a lot of floating-point arithmetic operations. Therefore, this thesis, proposes a scheme which is suitable for a multi-functional multi-precision 4D dot product unit with single instruction multiple data architecture compliant with IEEE754 standard for a single-precision floating-point arithmetic.
    The proposed 4D dot product unit can perform multiple instruction, including floating-point addition, floating-point multiplication, floating-point multiply-add, floating-point 3D dot product and floating-point 4D dot product. Multi-function means you can use one 4D dot product unit to perform one of five floating-point instruction. It is equivalent to fuse five independent arithmetic units into a hardware, to reduce area. In addition to multi-function, it also provides users four floating-point operation’s precision modes, which are 23-Bit, 18-Bit, 13-Bit, and 7-Bit. In low precision mode, graphics processing unit will generate distorted image, but human eyes can’t clearly identify a slight distortion of the rendered image. As a result, power and energy savings can be achieved by turning off a part of circuit and reducing the switching activities when a little image distortion is allowable.
    Advisory Committee
  • Shen-Fu Hsiao - chair
  • Yun-Nan Chang - co-chair
  • Ming-Chih Chen - co-chair
  • Shiann-Rong Kuang - advisor
  • Files
  • etd-0630115-164853.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2015-08-04

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