Scalable multi-access flash store for big data analytics

Scalable multi-access flash store for big data analytics

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For many "Big Data" applications, the limiting factor in performance is often the transportation of large amount of data from hard disks to where it can be processed, i.e. DRAM. In this paper we examine an architecture for a scalable distributed flash store which aims to overcome this limi...

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Bibliographic Details
Main Authors: Jun, Sang-Woo (Author), Liu, Ming (Author), Fleming, Kermin Elliott (Author), Arvind, Arvind (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Materials Science and Engineering (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery (ACM), 2019-06-28T15:45:00Z.
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