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Proceedings Paper

FPGA-based prototype storage system with phase change memory
Author(s): Gezi Li; Xiaogang Chen; Bomy Chen; Shunfen Li; Mi Zhou; Wenbing Han; Zhitang Song
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Paper Abstract

With the ever-increasing amount of data being stored via social media, mobile telephony base stations, and network devices etc. the database systems face severe bandwidth bottlenecks when moving vast amounts of data from storage to the processing nodes. At the same time, Storage Class Memory (SCM) technologies such as Phase Change Memory (PCM) with unique features like fast read access, high density, non-volatility, byte-addressability, positive response to increasing temperature, superior scalability, and zero standby leakage have changed the landscape of modern computing and storage systems. In such a scenario, we present a storage system called FLEET which can off-load partial or whole SQL queries to the storage engine from CPU. FLEET uses an FPGA rather than conventional CPUs to implement the off-load engine due to its highly parallel nature. We have implemented an initial prototype of FLEET with PCM-based storage. The results demonstrate that significant performance and CPU utilization gains can be achieved by pushing selected query processing components inside in PCM-based storage.

Paper Details

Date Published: 12 October 2016
PDF: 6 pages
Proc. SPIE 9818, 2016 International Workshop on Information Data Storage and Tenth International Symposium on Optical Storage, 98180C (12 October 2016); doi: 10.1117/12.2245020
Show Author Affiliations
Gezi Li, Shanghai Institute of Microsystem and Information Technology (China)
Univ. of Chinese Academy of Sciences (China)
Xiaogang Chen, Shanghai Institute of Microsystem and Information Technology (China)
Bomy Chen, Xinchu Integrated Circuit Inc. (China)
Shunfen Li, Shanghai Institute of Microsystem and Information Technology (China)
Mi Zhou, Shanghai Institute of Microsystem and Information Technology (China)
Univ. of Chinese Academy of Sciences (China)
Wenbing Han, Shanghai Institute of Microsystem and Information Technology (China)
Univ. of Chinese Academy of Sciences (China)
Zhitang Song, Shanghai Institute of Microsystem and Information Technology (China)


Published in SPIE Proceedings Vol. 9818:
2016 International Workshop on Information Data Storage and Tenth International Symposium on Optical Storage
Fuxi Gan; Zhitang Song; Yang Wang, Editor(s)

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