Parallelizing Data Processing on FPGAs with Shifter Lists

@article{Woods2015ParallelizingDP,
  title={Parallelizing Data Processing on FPGAs with Shifter Lists},
  author={Louis Woods and Gustavo Alonso and Jens Teubner},
  journal={TRETS},
  year={2015},
  volume={8},
  pages={7:1-7:22}
}
Parallelism is currently seen as a mechanism to minimize the impact of the power and heat dissipation problems encountered in modern hardware. Data parallelism—based on partitioning the data—and pipeline parallelism—based on partitioning the computation—are the two main approaches to leverage parallelism on a wide range of hardware platforms. Unfortunately, not all data processing problems are susceptible to either of those strategies. An example is the skyline operator [Börzsönyi et al. 2001… CONTINUE READING
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