GA-based architecture exploration method for low energy VLIW data-path model

In this paper, we propose GA-based architecture exploration method for high performance and low energy VLIW data-path. Contribution of this paper is a method to find Pareto optimal FU architecture, i.e., the number of FUs and the instruction assignment for each FU. Proposed method enables to explore the vast solution space effectively, and we obtained the almost optimal Pareto curves for real life applications for about five times faster than the exhaustive search base method. The exploration error on cycle vs energy Pareto curve was less than 1%.