Steady-State for Batches of Identical Task Trees

  • Authors:
  • Sékou Diakité;Loris Marchal;Jean-Marc Nicod;Laurent Philippe

  • Affiliations:
  • Laboratoire d'Informatique de Franche-Comté, Université de France Comté, France;Laboratoire de l'Informatique du Parallélisme CNRS - INRIA, Université de Lyon, France;Laboratoire d'Informatique de Franche-Comté, Université de France Comté, France;Laboratoire d'Informatique de Franche-Comté, Université de France Comté, France

  • Venue:
  • Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we focus on the problem of scheduling batches of identical task graphs on a heterogeneous platform, when the task graph consists in a tree. We rely on steady-state scheduling, and aim at reaching the optimal throughput of the system. Contrarily to previous studies, we concentrate upon the scheduling of batches of limited size. We try to reduce the processing time of each instance, thus making steady-state scheduling applicable to smaller batches. The problem is proven NP-complete, and a mixed integer program is presented to solve it. Then, different solutions, using steady-state scheduling or not, are evaluated through comprehensive simulations.