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http://dx.doi.org/10.7840/kics.2017.42.2.460

iSSD-Based Collaborative Processing for Big Data Mining  

Jo, Yong-Yoen (Hanyang University, Department of Computer and Software)
Kim, Sang-Wook (Hanyang University, Department of Computer and Software)
Bae, Duck-Ho (Samsung Electronics, Memory Business)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.2, 2017 , pp. 460-470 More about this Journal
Abstract
We address how to handle big data mining effectively using the intelligent SSD (iSSD). ISSD is a storage device equipped with computing power inside SSD for reducing the transferring cost and for processing data nearby SSD where the data is stored. We first introduce the structural characteristics of iSSD for efficient data processing. Then, we present how to process data mining algorithms by using iSSD. Finally, we discuss how to improve the performance of data mining algorithms significantly by exploiting heterogeneous computing environment where host CPUs and GPU coexist for maximizing the performance.
Keywords
Intelligent SSD; Simulator-based evaluation; Collaborative processing; Heterogeneous scheduling;
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Times Cited By KSCI : 2  (Citation Analysis)
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