A Parallelism Extended Approach for the Enumeration of Orthogonal Arrays

  • Hien Phan
  • Ben Soh
  • Man Nguyen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7016)

Abstract

Orthogonal Array plays an important role in Design of Experiment and software testing. The most challenging aspect of Orthogonal array is the enumeration problem, that is for given parameter sets, we want to count exactly how many isomorphism classes exist. Enumeration of orthogonal array usually requires huge effort needed to complete its computation. There are several algorithms that have been proposed for enumeration of orthogonal array, however, there exists ineffective parallelism approach for handling this problem.

In this paper, we present a step-by-step parallelism extending approach for enumeration of orthogonal array. The experiments show that this proposed approach could get an relative speedup efficiency of up to 128 processes and a great dynamic load balancing between computing processes.

Keywords

Execution Time Orthogonal Array Relative Speedup Column Size Chunk Size 
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 2011

Authors and Affiliations

  • Hien Phan
    • 1
  • Ben Soh
    • 1
  • Man Nguyen
    • 2
  1. 1.Department of Computer Science and Computer EngineeringLaTrobe UniversityAustralia
  2. 2.Faculty of Computer Science and EngineeringUniversity of TechnologyHo Chi Minh CityVietnam

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