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High performance technique for database applications using a hybrid GPU/CPU platform

M. Affan Zidan, Talal Bonny, Khaled N. Salama
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}

}

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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.
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