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2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 669-680
Rene Mueller , Systems Group, Department of Computer Science, ETH Zurich, Switzerland
Jens Teubner , Systems Group, Department of Computer Science, ETH Zurich, Switzerland
Gustavo Alonso , Systems Group, Department of Computer Science, ETH Zurich, Switzerland
ABSTRACT
Field-programmable gate arrays (FPGAs) can provide performance advantages with a lower resource consumption (e.g., energy) than conventional CPUs. In this paper, we show how to employ FPGAs to provide an efficient and high-performance solution for the frequent item problem.
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CITATION
Rene Mueller, Jens Teubner, Gustavo Alonso, "FPGA acceleration for the frequent item problem", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 669-680, 2010, doi:10.1109/ICDE.2010.5447856
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