Presentation | 2010-06-28 Optimizing Stream-based Anomaly Detection Algorithm SST with GPU Kosuke MORITA, Toyotaro SUZUMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper we describe the implementation and evaluation of an anomaly detection algorithm called SST(Singular Spectrum Transformation)on top of a data stream management system, System S developed by IBM Research. Moreover we optimized the program in such a way that the most dominant computation part, SVD(Singular Value Decomposition)is offloaded to GPGPU. In the case of the short rage of time-series data, the performance of CPU-based approach outperforms the one of GPU-based approach, but when the window size becomes large, GPU achieves less than 5 seconds while CPU-based one takes nearly 1 minutes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data Stream Processing / DSMS / DSPS / System S / SPADE / GPGPU / Anomaly Detection / SST |
Paper # | DE2010-4 |
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Committee | DE |
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Conference Date | 2010/6/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Optimizing Stream-based Anomaly Detection Algorithm SST with GPU |
Sub Title (in English) | |
Keyword(1) | Data Stream Processing |
Keyword(2) | DSMS |
Keyword(3) | DSPS |
Keyword(4) | System S |
Keyword(5) | SPADE |
Keyword(6) | GPGPU |
Keyword(7) | Anomaly Detection |
Keyword(8) | SST |
1st Author's Name | Kosuke MORITA |
1st Author's Affiliation | Tokyo Institute of Technology() |
2nd Author's Name | Toyotaro SUZUMURA |
2nd Author's Affiliation | Tokyo Institute of Technology:IBM Research-Tokyo |
Date | 2010-06-28 |
Paper # | DE2010-4 |
Volume (vol) | vol.110 |
Number (no) | 107 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |