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A List Scheduling Heuristic with New Node Priorities and Critical Child Technique for Task Scheduling with Communication Contention

  • Pengcheng Mu
  • Jean-François Nezan
  • Mickaël Raulet
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 73)

Abstract

Task scheduling is becoming an important aspect for parallel programming of modern embedded systems. In this chapter, the application to be scheduled is modeled as a Directed Acyclic Graph (DAG), and the architecture targets parallel embedded systems composed of multiple processors interconnected by buses and/or switches. This chapter presents new list scheduling heuristics with communication contention. Furthermore, we define new node priorities (top level and bottom level) to sort nodes, and propose an advanced technique named critical child to select a processor to execute a node. Experimental results show that the proposed method is effective to reduce the schedule length, and the runtime performance is greatly improved in the cases of medium and high communication. Since the communication cost is increasing from medium to high in modern applications like digital communication and video compression, the proposed method is well-adapted for scheduling these applications over parallel embedded systems.

Keywords

Direct Acyclic Graph Task Schedule Bottom Level Schedule Length Schedule Result 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Pengcheng Mu
    • 1
  • Jean-François Nezan
    • 2
  • Mickaël Raulet
    • 2
  1. 1.Ministry of Education Key Lab for Intelligent Networks and Network Security, School of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’anP.R. China
  2. 2.IETR/Image and Remote Sensing GroupCNRS UMR 6164/INSA RennesRennes CedexFrance

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