TY - GEN
T1 - Active disk meets flash
T2 - 27th ACM International Conference on Supercomputing, ICS 2013
AU - Cho, Sangyeun
AU - Park, Chanik
AU - Oh, Hyunok
AU - Kim, Sungchan
AU - Yi, Youngmin
AU - Ganger, Gregory R.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - data-intensive computing
KW - energy-efficient computing
KW - storage systems
UR - http://www.scopus.com/inward/record.url?scp=84879801090&partnerID=8YFLogxK
U2 - 10.1145/2464996.2465003
DO - 10.1145/2464996.2465003
M3 - Conference contribution
AN - SCOPUS:84879801090
SN - 9781450321303
T3 - Proceedings of the International Conference on Supercomputing
SP - 91
EP - 102
BT - ICS 2013 - Proceedings of the 2013 ACM International Conference on Supercomputing
Y2 - 10 June 2013 through 14 June 2013
ER -