A meta-heuristic approach to parallel code generation

  • Authors:

  • Barry McCollum;Pat H. Corr;Peter Milligan

  • Affiliations:

  • School of Computer Science, The Queen's University of Belfast, Belfast, Ireland;School of Computer Science, The Queen's University of Belfast, Belfast, Ireland;School of Computer Science, The Queen's University of Belfast, Belfast, Ireland

  • Venue:
  • VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
  • Year:
  • 2002

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Abstract

The efficient generation of parallel code for multiprocessor environments, is a large and complicated issue. Attempts to address this problem have always resulted in significant input from users. Because of constraints on user knowledge and time, the automation of the process is a promising and practically important research area. In recent years heuristic approaches have been used to capture available knowledge and make it available for the parallelisation process. Here, the introduction of a novel approach of neural network techniques is combined with an expert system technique to enhance the availability of knowledge to aid in the automatic generation of parallel code.