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2010 IEEE 26th International Conference on Data Engineering (ICDE 2010) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 669-680
Jens Teubner , Systems Group, Department of Computer Science, ETH Zurich, Switzerland
Rene Mueller , 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

R. Mueller, J. Teubner and G. Alonso, "FPGA acceleration for the frequent item problem," 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)(ICDE), Long Beach, CA, USA, 2010, pp. 669-680.
doi:10.1109/ICDE.2010.5447856
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