Frequent Item Computation on a Chip

  title={Frequent Item Computation on a Chip},
  author={Jens Teubner and Ren{\'e} M{\"u}ller and Gustavo Alonso},
  journal={IEEE Transactions on Knowledge and Data Engineering},
Computing frequent items is an important problem by itself and as a subroutine in several data mining algorithms. In this paper, we explore how to accelerate the computation of frequent items using field-programmable gate arrays (FPGAs) with a threefold goal: increase performance over existing solutions, reduce energy consumption over CPU-based systems, and explore the design space in detail as the constraints on FPGAs are very different from those of traditional software-based systems. We… CONTINUE READING
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