The University of Tulsa
Moore's law scaling of current embedded processors will be insufficient to keep up with the energy and performance needs of rapidly evolving wireless communication applications. Designers often achieve improvements in energy or delay at the expense of the other. The energy-delay product has been proposed as a better metric for architectural merit. ASICs are typically employed in support of compute intensive kernels since their energy-delay characteristics are far superior to software implementations on energy efficient embedded processors.