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Scheduling Recurrent Precedence-Constrained Task Graphs on a Symmetric Shared-Memory Multiprocessor

  • UmaMaheswari C. Devi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5704)

Abstract

We consider approaches that allow task migration for scheduling recurrent directed-acyclic-graph (DAG) tasks on symmetric, shared-memory multiprocessors (SMPs) in order to meet a given throughput requirement with fewer processors. Within the scheduling approach proposed, we present a heuristic based on grouping DAG subtasks for lowering the end-to-end latency and an algorithm for computing an upper bound on latency. Unlike prior work, the purpose of the grouping here is not to map the subtask groups to physical processors, but to generate aggregated entities, each of which can be treated as a single schedulable unit to lower latency. Evaluation using synthetic task sets shows that our approach can lower processor needs considerably while incurring only a modest increase in latency. In contrast to the work presented herein, most prior work on scheduling recurrent DAGs has been for distributed-memory multiprocessors, and has therefore mostly been concerned with statically mapping DAG subtasks to processors.

Keywords

Task Graph Incoming Edge Schedule Approach Execution Cost Sporadic Task 
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-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • UmaMaheswari C. Devi
    • 1
  1. 1.IBM India Research LaboratoryBangaloreIndia

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