LUT-based FPGA technology mapping for power minimization with optimal depth

In this paper, we study the technology mapping problem for LUT-based FPGAs targeting power minimization. We present the PowerMap algorithm to generate a mapping solution to minimize power consumption while keeping the delay optimal. We compute min-height K-feasible cuts for critical nodes to optimize the depth and compute min-weight K-feasible cuts for noncritical nodes to minimize the power consumption of the mapping solution. We have implemented PowerMap in C and tested it on a number of MCNC benchmark circuits. Compared to FlowMap, a delay-optimal mapper, our algorithm reduces the power consumption by 17.8% and uses 9.4% less LUTs without any depth penalty.