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Active disk meets flash: A case for intelligent SSDs

Authors
Cho, SangyeunPark, ChanikOh, HyunokKim, SungchanYi, YoungminGanger, Gregory R.
Issue Date
Jun-2013
Publisher
ACM
Keywords
data-intensive computing; energy-efficient computing; storage systems
Citation
Proceedings of the International Conference on Supercomputing, pp.91 - 102
Indexed
SCOPUS
Journal Title
Proceedings of the International Conference on Supercomputing
Start Page
91
End Page
102
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/162606
DOI
10.1145/2464996.2465003
ISSN
0000-0000
Abstract
Intelligent solid-state drives (iSSDs) allow execution of limited application functions (e.g., data filtering or aggregation)on their internal hardware resources, exploiting SSD characteristics and trends to provide large and growing performance and energy efficiency benefits. Most notably, internal flash media bandwidth can be significantly (2-4x or more) higher than the external bandwidth with which the SSD is connected to a host system, and the higher internal bandwidth can be exploited within an iSSD. Also, SSD bandwidth is projected to increase rapidly over time, creating a substantial energy cost for streaming of data to an external CPU for processing, which can be avoided via iSSD processing. This paper makes a case for iSSDs by detailing these trends, quantifying the potential benefifits across a range of application activities, describing how SSD architectures could be extended cost-effectively, and demonstrating the concept with measurements of a prototype iSSD running simple data scan functions. Our analyses indicate that, with less than a 2% increase in hardware cost over a traditional SSD, an iSSD can provide 2-4x performance increases and 5-27x energy efficiency gains for a range of data-intensive computations.
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