Being a critical highway between FPGA core IPs, the routing fabric components play an integral part in overall core performance. Optimizing the components in the routing fabric region is not a trivial task when considering the multitude of variable physical parameters involved especially the profound association with software programming and constantly changing process parameters. Common optimization algorithm would be discussed, incorporating propose multi-dimensional graphical method. Case study illustrates the potential of graphical method in identifying optimal component sizing and tradeoffs, aiding design and decision making in delivering most optimal designs in routing fabric region. Supported by comprehensive graphical performance visualization, basic routing element architecture would also be discussed, developing expressions to promote faster optimization by narrowing down the region of interest; improving resource utilization on optimization.