• DocumentCode
    1700885
  • Title

    The Design and Evaluation of GPU Based Memory Database

  • Author

    Lin, Chia-Feng ; Yuan, Shyan-Ming

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2011
  • Firstpage
    224
  • Lastpage
    231
  • Abstract
    In recent years, NVIDIA proposed a developing platform for GPGPU. They also extended C language to parallel computing language, CUDA. In the meanwhile, the growth of memory capacity inside a computer enhances the feasibility of memory based database. In this paper, a memory database was proposed based on GPU memory. This study focus on how GPU can improve common operations for rational databases. Some comparison between proposed database and SQLite were also mentioned. The experiment result shows that GPU based database has better performance than SQLite. This research suggests a better solution to improve the performance of memory database using GPU.
  • Keywords
    SQL; computer graphic equipment; coprocessors; storage management; C language; CUDA; GPU based memory database; NVIDIA; SQLite; graphics processing unit; memory capacity; parallel computing language; rational database; Algorithm design and analysis; Arrays; Databases; Graphics processing unit; Instruction sets; Libraries; Sorting; Database; GPU; memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4577-0817-6
  • Electronic_ISBN
    978-0-7695-4449-6
  • Type

    conf

  • DOI
    10.1109/ICGEC.2011.61
  • Filename
    6042757