Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach

This work focuses on power optimization of real-time applications with conditional execution running on a dynamic voltage scaling (DVS) enabled multiprocessor system. A novel algorithm is proposed that performs simultaneous task mapping and ordering followed by task stretching of a conditional task graph (CTG). The algorithm minimizes the mathematical expectation of energy dissipation of non-deterministic applications with random branch selection by utilizing the task execution profile. Compared with existing scheduling algorithm, the experimental results show that our algorithm has 32% energy reduction in average.