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Abstract
This work presents a new adaptation of the discrete particle swarm optimization method applied to the FPGA placement problem, a crucial and time-consuming step in the FPGA synthesis flow. We evaluate the performance of the new optimizer against the existing version by embedding them into a publicly available FPGA placer Liquid to replace the simulated annealing-based optimizer used for the hard block optimization. The benchmark testing using Titan23 circuits shows the runtime efficiency of the new optimizer with comparable post-routed results as those of Liquid using simulated annealing.
Keywords
particle swarm optimization, discrete optimization, placement, FPGA synthesis

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MLA
Zhou, Yun, et al. “A New Adaptation of Particle Swarm Optimization Applied to Modern FPGA Placement.” 2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019), 2019, pp. 141–44.
APA
Zhou, Y., Vercruyce, D., & Stroobandt, D. (2019). A new adaptation of particle swarm optimization applied to modern FPGA placement. In 2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019) (pp. 141–144). Lausanne, Switzerland.
Chicago author-date
Zhou, Yun, Dries Vercruyce, and Dirk Stroobandt. 2019. “A New Adaptation of Particle Swarm Optimization Applied to Modern FPGA Placement.” In 2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019), 141–44.
Chicago author-date (all authors)
Zhou, Yun, Dries Vercruyce, and Dirk Stroobandt. 2019. “A New Adaptation of Particle Swarm Optimization Applied to Modern FPGA Placement.” In 2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019), 141–144.
Vancouver
1.
Zhou Y, Vercruyce D, Stroobandt D. A new adaptation of particle swarm optimization applied to modern FPGA placement. In: 2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019). 2019. p. 141–4.
IEEE
[1]
Y. Zhou, D. Vercruyce, and D. Stroobandt, “A new adaptation of particle swarm optimization applied to modern FPGA placement,” in 2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019), Lausanne, Switzerland, 2019, pp. 141–144.
@inproceedings{8628556,
  abstract     = {This work presents a new adaptation of the discrete particle swarm optimization method applied to the FPGA placement problem, a crucial and time-consuming step in the FPGA synthesis flow. We evaluate the performance of the new optimizer against the existing version by embedding them into a publicly available FPGA placer Liquid to replace the simulated annealing-based optimizer used for the hard block optimization. The benchmark testing using Titan23 circuits shows the runtime efficiency of the new optimizer with comparable post-routed results as those of Liquid using simulated annealing.},
  author       = {Zhou, Yun and Vercruyce, Dries and Stroobandt, Dirk},
  booktitle    = {2019 16TH INTERNATIONAL CONFERENCE ON SYNTHESIS, MODELING, ANALYSIS AND SIMULATION METHODS AND APPLICATIONS TO CIRCUIT DESIGN (SMACD 2019)},
  isbn         = {9781728112015},
  issn         = {2575-4874},
  keywords     = {particle swarm optimization,discrete optimization,placement,FPGA synthesis},
  language     = {eng},
  location     = {Lausanne, Switzerland},
  pages        = {141--144},
  title        = {A new adaptation of particle swarm optimization applied to modern FPGA placement},
  url          = {http://dx.doi.org/10.1109/SMACD.2019.8795284},
  year         = {2019},
}

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