Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50604

Energy-Aware Scheduling of Conditional Task Graphs on NoC-Based MPSoCs

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Title:Energy-Aware Scheduling of Conditional Task Graphs on NoC-Based MPSoCs
Authors:Tariq, Umair Ullah
Wu, Hui
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.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/50604
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.715
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Software Development for Mobile Devices, Wearables, and the Internet-of-Things


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