A New Hardware/Software Partitioning Methodology Combining Search Space Smoothing and Discrete Particle Swarm Optimization

摘要

Hardware/Software partitioning is one of the most important problems in the embedded system co-design. Based on a model using the task flow graph, this paper presents a new method that combines the search space smoothing and discrete particle swarm optimization to tackle the problem. Experimental results demonstrate that this new method can reach the best quality of solutions at a relatively low time cost.