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
Link To Document :
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