作者
M Affan Zidan, Talal Bonny, Khaled N Salama
发表日期
2011/5/2
图书
Proceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI
页码范围
85-90
简介
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.
学术搜索中的文章
MA Zidan, T Bonny, KN Salama - Proceedings of the 21st edition of the great lakes …, 2011