High performance technique for database applicationsusing a hybrid GPU/CPU platform

Mohammed A. Zidan, Mohamed Talal Bonny, Khaled N. Salama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

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 applica- tions by using a Hybrid GPU/CPU platform. In particular, our technique solves the problem of the low efficiency result- ing 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. Copyright © 2011 by ASME.
Original languageEnglish (US)
Title of host publicationProceedings of the 21st edition of the great lakes symposium on Great lakes symposium on VLSI - GLSVLSI '11
PublisherAssociation for Computing Machinery (ACM)
Pages85-90
Number of pages6
ISBN (Print)9781450306676
DOIs
StatePublished - May 3 2011

Fingerprint Dive into the research topics of 'High performance technique for database applicationsusing a hybrid GPU/CPU platform'. Together they form a unique fingerprint.

Cite this