Joint Task Allocation and PU Placement For Energy Efficient Heterogeneous MPSoCs

Energy Management for multi-mode Software Defined Radio (SDR) systems remains a daunting challenge. In this paper, we focus on the issue of task allocation for multi-processor based systems with hybrid processing resources that can be reconfigured to support various operations. With the objective of minimizing energy, we present an analytical probabilistic model that considers static, dynamic, configuration and communication energy components for multiple applications characterized by certain probabilities of execution. Furthermore, we propose a fast, energy aware static task mapping heuristic to minimize the average overall energy consumption. In addition, the heuristic proposes re-ordering for the processing units for further energy reduction. Simulation results show that the proposed mapping heuristic is capable of achieving results that are within 20% of the optimal solution while providing orders of magnitude speedup in processing time. Further saving is achievable via joint mapping and placement.