DocumentCode
2440826
Title
Using the GPGPU for scaling up Mining Software Repositories
Author
Nagano, Rina ; Nakamura, Hiroki ; Kamei, Yasutaka ; Adams, Bram ; Hisazumi, Kenji ; Ubayashi, Naoyasu ; Fukuda, Akira
Author_Institution
Kyushu Univ., Fukuoka, Japan
fYear
2012
fDate
2-9 June 2012
Firstpage
1435
Lastpage
1436
Abstract
The Mining Software Repositories (MSR) field integrates and analyzes data stored in repositories such as source control and bug repositories to support practitioners. Given the abundance of repository data, scaling up MSR analyses has become a major challenge. Recently, researchers have experimented with conventional techniques like a supercomputer or cloud computing, but these are either too expensive or too hard to configure. This paper proposes to scale up MSR analysis using “general-purpose computing on graphics processing units” (GPGPU) on off-the-shelf video cards. In a representative MSR case study to measure co-change on version history of the Eclipse project, we find that the GPU approach is up to a factor of 43.9 faster than a CPU-only approach.
Keywords
data mining; graphics processing units; software packages; Eclipse project; GPGPU; MSR; bug repositories; cloud computing; general-purpose computing on graphics processing units; mining software repositories; off-the-shelf video cards; source control; supercomputer; Arrays; Computer bugs; Data mining; Graphics processing unit; History; Supercomputers;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering (ICSE), 2012 34th International Conference on
Conference_Location
Zurich
ISSN
0270-5257
Print_ISBN
978-1-4673-1066-6
Electronic_ISBN
0270-5257
Type
conf
DOI
10.1109/ICSE.2012.6227077
Filename
6227077
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