Title page for etd-0727110-153900


[Back to Results | New Search]

URN etd-0727110-153900
Author Yu-Wei Yang
Author's Email Address No Public.
Statistics This thesis had been viewed 5357 times. Download 2929 times.
Department Computer Science and Engineering
Year 2009
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Design and Implementation of C Programming Language Extension for Parallel GPU Computing
Date of Defense 2010-07-23
Page Count 35
Keyword
  • CUDA
  • Multi-Thread
  • Parallelization
  • GPU
  • Abstract NVIDIA developed a technique of executing general program on GPU, named CUDA (Compute Unified Device Architecture), in 2006. The CUDA programming model allows a group of same instructions to execute on multi-thread simultaneously, which has advantage of parallel programs in reducing the execution time significantly. Although CUDA provides a series of C-like APIs (Application Programming Interface) so that programmers can easy use CUDA language, it still costs certain efforts to be familiar with the development. In this thesis, we propose a tool to automatically translate C programs into corresponding CUDA programs which reduce program development time effectively.
    Advisory Committee
  • Wei-Kuang Lai - chair
  • Ying-Chih Lin - co-chair
  • Chun-I Fan - co-chair
  • Chun-Hung Lin - advisor
  • Files
  • etd-0727110-153900.pdf
  • indicate accessible in a year
    Date of Submission 2010-07-27

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys