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

Authors:
M. Affan Zidan;Talal Bonny;Khaled N. Salama
Affiliations:
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia;King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia;King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Venue:
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
Year:
2011

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Abstract

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.