High performance technique for database applications using a hybrid GPU/CPU platform
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Proceedings of the 21st edition of the Great Lakes Symposium on VLSI, GLSVLSI ’11, 2011
@inproceedings{zidan2011high,
title={High performance technique for database applicationsusing a hybrid GPU/CPU platform},
author={Zidan, M.A. and Bonny, T. and Salama, K.N.},
booktitle={Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI},
pages={85–90},
year={2011},
organization={ACM}
}
Many database applications, such as sequence comparing, sequence searching, and sequence matching, etc, process large database sequences. we introduce a novel and efficient technique to improve the performance of database applications by using a Hybrid GPU/CPU platform. In particular, our technique solves the problem of the low efficiency resulting from running short-length sequences in a database on a GPU. To verify our technique, we applied it to the widely used Smith-Waterman algorithm. The experimental results show that our Hybrid GPU/CPU technique improves the average performance by a factor of 2.2, and improves the peak performance by a factor of 2.8 when compared to earlier implementations.
September 11, 2011 by hgpu
