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Collaborative processing of data-intensive algorithms with CPU, intelligent SSD, and GPU

Authors
Jo, Yong-YeonCho, SungwooKim, Sang-WookOh, Hyunok
Issue Date
Apr-2016
Publisher
Association for Computing Machinery
Keywords
Collaborative processing; GPU; Heterogeneous; Scheduling; SSD
Citation
Proceedings of the ACM Symposium on Applied Computing, v.04-08-April-2016, pp.1865 - 1870
Indexed
SCOPUS
Journal Title
Proceedings of the ACM Symposium on Applied Computing
Volume
04-08-April-2016
Start Page
1865
End Page
1870
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/33052
DOI
10.1145/2851613.2851741
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.
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서울 공과대학 > 서울 정보시스템학과 > 1. Journal Articles
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

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