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
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;
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
DOI :
10.1109/ICGEC.2011.61
