Hardware-software partitioning using three-level hybrid algorithm for system-on-chip platform

This study discusses hardware-software partitioning, which is useful for system-on-chip (SoC) applications. Hardware-software partitioning attempts to obtain the lowest execution time by combining a hardware processor system and field programmable gate array on SoC platform in embedded A three-level hybrid algorithm called GAGAPSO proposed this study. The consists of two successive genetic algorithms (GAs) one particle swarm optimization (PSO). drawbacks these are GA has low convergence speed PSO premature because diversity. These combined achieve high-capacity global enhanced search efficiency. In study, three developed, namely, GA, GAPSO using MATLAB. evaluated basis number nodes minimum cost that can be achieved. varies from 10 1000 nodes. iterations recorded. Results show converge faster than GAPSO. Furthermore, all