GPU Acceleration of Melody Accurate Matching in Query-by-Humming
Joint Authors
Xiao, L.
Zheng, Yao
Tang, Wenqi
Yao, Guangchao
Ruan, Li
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-12
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
With the increasing scale of the melody database, the query-by-humming system faces the trade-offs between response speed and retrieval accuracy.
Melody accurate matching is the key factor to restrict the response speed.
In this paper, we present a GPU acceleration method for melody accurate matching, in order to improve the response speed without reducing retrieval accuracy.
The method develops two parallel strategies (intra-task parallelism and inter-task parallelism) to obtain accelerated effects.
The efficiency of our method is validated through extensive experiments.
Evaluation results show that our single GPU implementation achieves 20x to 40x speedup ratio, when compared to a typical general purpose CPU’s execution time.
American Psychological Association (APA)
Xiao, L.& Zheng, Yao& Tang, Wenqi& Yao, Guangchao& Ruan, Li. 2014. GPU Acceleration of Melody Accurate Matching in Query-by-Humming. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050333
Modern Language Association (MLA)
Xiao, L.…[et al.]. GPU Acceleration of Melody Accurate Matching in Query-by-Humming. The Scientific World Journal No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1050333
American Medical Association (AMA)
Xiao, L.& Zheng, Yao& Tang, Wenqi& Yao, Guangchao& Ruan, Li. GPU Acceleration of Melody Accurate Matching in Query-by-Humming. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1050333
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050333