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Collaborative Processing of Data-Intensive Algorithms with CPU, Intelligent SSD, and GPU

Title
Collaborative Processing of Data-Intensive Algorithms with CPU, Intelligent SSD, and GPU
Author
오현옥
Keywords
SSD; GPU; Collaborative processing; Heterogeneous; Scheduling
Issue Date
2016-04
Publisher
ACM
Citation
SAC '16 Proceedings of the 31st Annual ACM Symposium on Applied Computing, Page. 1865-1870
Abstract
The graphic processing unit (GPU) is a computing resource to process graphics-related applications. The intelligent SSD (iSSD) is a solid state device (SSD) that is provided with data processing power. These days, CPU, GPU, and SSD are equipped together in most processing environment. If SSD is replaced with iSSD later on, we have a new processing environment where three computing resources collaborate one another to process a huge volume of data (so called big data) quite effectively. In this paper, we address how to exploit all these computing resources for efficient processing of data-intensive algorithms.Through extensive experiment, we verify the effectiveness and potential of the proposed collaborative processing environment by processing data concurrently with multiple computing resources. The results reveal that processing in the our environment outperforms that in the traditional one by up to 3.5 times.
URI
https://dl.acm.org/citation.cfm?id=2851741http://hdl.handle.net/20.500.11754/49598
ISBN
978-1-4503-3739-7
DOI
10.1145/2851613.2851741
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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