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
Link To Document