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Achieving 10Gbps Line-rate Key-value Stores with FPGAs
Michaela Blott, Kimon Karras, Ling Liu, and Kees Vissers, Xilinx Inc.; Jeremia Bär and Zsolt István, ETH Zürich
Distributed in-memory key-value stores such as memcached have become a critical middleware application within current web infrastructure. However, typical x86-based systems yield limited performance scalability and high power consumption as their architecture with its optimization for single thread performance is not wellmatched towards the memory-intensive and parallel nature of this application. In this paper we present the design of a novel memcached architecture implemented on Field Programmable Gate Arrays (FPGAs) which is the first in literature to achieve 10Gbps line rate processing for all packet sizes. By transformation of the functionality into a dataflow architecture, the implementation can not only provide significant speed-up but also operate at a lower power consumption than any x86. More specifically, with our prototype we have measured an increase of up to a factor of 36x in requests per second per Watt that can be serviced in comparison to the best published numbers for regular servers with optimized software. Additionally, we show that through the tight integration of network interface, memory and compute, round trip latency can be reduced down to below 4.5 microseconds.
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author = {Michaela Blott and Kimon Karras and Ling Liu and Kees Vissers and Jeremia B{\"a}r and Zsolt Istv{\'a}n},
title = {Achieving 10Gbps Line-rate Key-value Stores with {FPGAs}},
booktitle = {5th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 13)},
year = {2013},
address = {San Jose, CA},
url = {https://www.usenix.org/conference/hotcloud13/workshop-program/presentations/blott},
publisher = {USENIX Association},
month = jun
}
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