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An object-oriented class library for scalable parallel heuristic search

  • Wing-cheong Lau
  • Vineet Singh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 615)

Abstract

In this report, we describe the design and implementation of a Parallel Heuristic Search Class Library, with emphasis on the use of object-oriented programming techniques for distributed applications. Another key consideration is the scalability of the library. We present the rationale behind major design decisions as well as the adoption of particular programming conventions. Along with an outline of the general framework of the library, we discuss implementation details of individual library classes. To demonstrate the applicability of the class library, it was used to port two existing parallel applications to an object-oriented platform. Different software metrics regarding the porting projects are used for evaluating library usability.

Keywords

Parallel Application Class Hierarchy Class Library Method Invocation Processing Entity 
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 1992

Authors and Affiliations

  • Wing-cheong Lau
    • 1
  • Vineet Singh
    • 2
  1. 1.ECE Dept.Univ. of TexasAustinUSA
  2. 2.HP LabsPalo AltoUSA

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