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Energy-Aware Scheduling of Conditional Task Graphs on NoC-Based MPSoCs
|Title:||Energy-Aware Scheduling of Conditional Task Graphs on NoC-Based MPSoCs|
|Authors:||Tariq, Umair Ullah|
Abd Ishak, Suhaimi
|Keywords:||Software Development for Mobile Devices, Wearables, and the Internet-of-Things|
Dynamic Voltage and Frequency Scaling Energy-Aware Scheduling Conditional Task Graphs Heterogeneous MPSoCs Non-Linear Programming
|Date Issued:||03 Jan 2018|
|Abstract:||We 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.|
|Rights:||Attribution-NonCommercial-NoDerivatives 4.0 International|
|Appears in Collections:||
Software Development for Mobile Devices, Wearables, and the Internet-of-Things|
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