Model-driven product line engineering for mapping parallel algorithms to parallel computing platforms

Ethem Arkin, Bedir Tekinerdogan

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

Mapping parallel algorithms to parallel computing platforms requires several activities such as the analysis of the parallel algorithm, the definition of the logical configuration of the platform, the mapping of the algorithm to the logical configuration platform and the implementation of the source code. Applying this process from scratch for each parallel algorithm is usually time consuming and cumbersome. Moreover, for large platforms this overall process becomes intractable for the human engineer. To support systematic reuse we propose to adopt a model-driven product line engineering approach for mapping parallel algorithms to parallel computing platforms. Using model-driven transformation patterns we support the generation of logical configurations of the computing platform and the generation of the parallel source code that runs on the parallel computing platform nodes. The overall approach is illustrated for mapping an example parallel algorithm to parallel computing platforms.

Original languageEnglish
Title of host publicationMODELSWARD 2016 - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development
PublisherSciTePress
Pages347-354
ISBN (Print)9789897581687
DOIs
Publication statusPublished - 2016
Event4th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2016 - Rome, Italy
Duration: 19 Feb 201621 Feb 2016

Conference

Conference4th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2016
CountryItaly
CityRome
Period19/02/1621/02/16

Keywords

  • Model Driven Software Development
  • Parallel Computing
  • Product Line Engineering
  • Tool Support

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