MO-pack: many-objective clustering for FPGA CAD

  • Authors:
  • Senthilkumar Thoravi Rajavel;Ali Akoglu

  • Affiliations:
  • University of Arizona Tucson, AZ;University of Arizona Tucson, AZ

  • Venue:
  • Proceedings of the 48th Design Automation Conference
  • Year:
  • 2011

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Abstract

Applications targeting FPGA integrated systems impose strict energy, channel width and delay constraints. We introduce the first many-objective clustering, MO-Pack, that targets these performance metrics concurrently. Detailed performance comparisons over state of the art clustering strategies targeting energy (P-T-VPack), delay (T-VPack), channel width (iRAC), and timing and routability (T-RPack) show that MO-Pack achieves its goals without increasing the logic area.