Simultaneous depth and area minimization in LUT-based FPGA mapping

  • Authors:
  • Jason Cong;Yean-Yow Hwang

  • Affiliations:
  • Department of Computer Science, University of California, Los Angeles, CA;Department of Computer Science, University of California, Los Angeles, CA

  • Venue:
  • FPGA '95 Proceedings of the 1995 ACM third international symposium on Field-programmable gate arrays
  • Year:
  • 1995

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Abstract

In this paper, we present an improvement of the FlowMap algorithm, named CutMap, which combines depth and area minimization during the mapping process by computing min-cost min-height K-feasible cuts for critical nodes for depth minimization and computing min-cost K-feasible cuts for non-critical nodes for area minimization. CutMap guarantees depth-optimal mapping solutions in polynomial time as the FlowMap algorithm but uses considerably fewer K-Luts. We have implemented CutMap and tested it on the MCNC logic synthesis benchmarks. For depth-optimal mapping solutions, CutMap uses 15% fewer K-LUTs than FlowMap. We also tested CutMap followed by the depth relaxation routines in FlowMap_r algorithm, which achieves area minimization by depth relaxation. CutMap followed FlowMap_r performs better than FlowMap_r.