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Task Allocation in Mesh Connected Processors with Local Search Meta-heuristic Algorithms

  • Wojciech Kmiecik
  • Marek Wojcikowski
  • Leszek Koszalka
  • Andrzej Kasprzak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5991)

Abstract

This article contains a short analysis of applying three metaheuristic local search algorithms to solve the problem of allocating two-dimensional tasks on a two-dimensional processor mesh in a period of time. The primary goal is to maximize the level of mesh utilization. To achieve this task we adapted three algorithms: Tabu Search, Simulated Annealing and Random Search, as well as created a helper algorithm Dumb Fit and adapted another helper algorithm – First Fit. To measure the algorithms’ efficiency we introduced our own evaluating function Cumulative Effectiveness and a derivative Utilization Factor. Finally, we implemented an experimentation system to test these algorithms on different sets of tasks to allocate. In this article there is a short analysis of series of experiments conducted on three different classes of task sets: small tasks, mixed tasks and large tasks.

Keywords

Network structure task allocation Tabu Search Simmulated Annealing experimentation system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Wojciech Kmiecik
    • 1
  • Marek Wojcikowski
    • 1
  • Leszek Koszalka
    • 1
  • Andrzej Kasprzak
    • 1
  1. 1.Dept. of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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