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10.1109/IPDPSW.2014.24guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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A Hybrid ILP-CP Model for Mapping Directed Acyclic Task Graphs to Multicore Architectures

Published: 19 May 2014 Publication History

Abstract

Directed Acyclic Task Graphs serve as typical kernel representation for embedded applications. Modern embedded multicore architectures raise new challenges for efficient mapping and scheduling of task DAGs providing a large number of heterogeneous resources. In this paper, a hybrid Integer Linear Programming – Constraint Programming method that uses the Benders decomposition is used to find proven optimal solutions. The proposed method is augmented with cuts generation schemes for accelerating the solution process. Experimental results show that the proposed method systematically outperforms an ILP-based solution method.

Cited By

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  • (2024)Optimization of uncertain dependent task mapping on heterogeneous computing platformsThe Journal of Supercomputing10.1007/s11227-024-06032-w80:11(15868-15893)Online publication date: 1-Jul-2024
  • (2022)Workflow simulation and multi-threading aware task scheduling for heterogeneous computingJournal of Parallel and Distributed Computing10.1016/j.jpdc.2022.05.011168:C(17-32)Online publication date: 1-Oct-2022
  • (2017)Automated parameter selection of scheduling algorithms using machine learning techniquesProceedings of the 21st Pan-Hellenic Conference on Informatics10.1145/3139367.3139442(1-5)Online publication date: 28-Sep-2017
  • Show More Cited By
  1. A Hybrid ILP-CP Model for Mapping Directed Acyclic Task Graphs to Multicore Architectures

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    Published In

    cover image Guide Proceedings
    IPDPSW '14: Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops
    May 2014
    1737 pages
    ISBN:9781479941162

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 19 May 2014

    Author Tag

    1. multicore architectures, DAG mapping, tasks scheduling, integer linear programming, constraint programming

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    Cited By

    View all
    • (2024)Optimization of uncertain dependent task mapping on heterogeneous computing platformsThe Journal of Supercomputing10.1007/s11227-024-06032-w80:11(15868-15893)Online publication date: 1-Jul-2024
    • (2022)Workflow simulation and multi-threading aware task scheduling for heterogeneous computingJournal of Parallel and Distributed Computing10.1016/j.jpdc.2022.05.011168:C(17-32)Online publication date: 1-Oct-2022
    • (2017)Automated parameter selection of scheduling algorithms using machine learning techniquesProceedings of the 21st Pan-Hellenic Conference on Informatics10.1145/3139367.3139442(1-5)Online publication date: 28-Sep-2017
    • (2016)A Logic-Based Benders Decomposition Approach for Mapping Applications on Heterogeneous Multicore PlatformsACM Transactions on Embedded Computing Systems10.1145/283873315:1(1-28)Online publication date: 20-Feb-2016

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