Tariq, Umair UllahWu, HuiAbd Ishak, Suhaimi2017-12-282017-12-282018-01-03978-0-9981331-1-9http://hdl.handle.net/10125/50604We investigate the problem of scheduling a set of tasks with individual deadlines and conditional precedence constraints on a heterogeneous Network on Chip (NoC)-based Multi-Processor System-on-Chip (MPSoC) such that the total expected energy consumption of all the tasks is minimized, and propose a novel approach. Our approach consists of a scheduling heuristic for constructing a single unified schedule for all the tasks and assigning a frequency to each task and each communication assuming continuous frequencies, an Integer Linear Programming (ILP)-based algorithm and a polynomial time heuristic for assigning discrete frequencies and voltages to tasks and communications. We have performed experiments on 16 synthetic and 4 real-world benchmarks. The experimental results show that compared to the state-of-the-art approach, our approach using the ILP-based algorithm and our approach using the polynomial-time heuristic achieve average improvements of 31% and 20%, respectively, in terms of energy reduction.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalSoftware Development for Mobile Devices, Wearables, and the Internet-of-ThingsDynamic Voltage and Frequency Scaling Energy-Aware Scheduling Conditional Task Graphs Heterogeneous MPSoCs Non-Linear ProgrammingConference Paper10.24251/HICSS.2018.715