The design and evaluation of GPU based memory database

Chia Feng Lin*, Shyan-Ming Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011
Pages224-231
Number of pages8
DOIs
StatePublished - 9 Nov 2011
Event5th International Conference on Genetic and Evolutionary Computing, ICGEC2011 - Xiamen, China
Duration: 29 Aug 20111 Sep 2011

Publication series

NameProceedings - 2011 5th International Conference on Genetic and Evolutionary Computing, ICGEC 2011

Conference

Conference5th International Conference on Genetic and Evolutionary Computing, ICGEC2011
CountryChina
CityXiamen
Period29/08/111/09/11

Keywords

  • Database
  • GPU
  • Memory

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