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GridFOR: A Domain Specific Language for Parallel Grid-Based Applications

INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING 2016年第3期44卷 427-448页

作者： Wang, Ye Li, Zhiyuan Purdue Univ Dept Comp Sci W Lafayette IN 47906 USA

To ease the programming burden and to make parallel programs more maintainable, computational scientists and engineers currently have the options to use software libraries, templates, and general purpose language extensions to compose their application programs. These existing options, unfortunately, have considerable limitations with compatibility, expressive power and delivered performance. To address these issues, we design a domain specific language, GridFOR, for computational problems defined over regular geometric grids. This language allows the programmer to first implement an algorithm on simple data structures, as commonly illustrated in textbooks or papers. The programmer then specifies transformations to extend the algorithm for complex data structures required by the target applications. We build a compiler to automatically translate a GridFOR program to a parallel Fortran version with Message Passing Interface calls. Several optimization techniques are implemented in our compiler to enhance the program speed.

关键词： Domain specific languages Programming models Program transformation compiler analysis and optimization

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Automated rapid prototyping of regular grid-based numerical applications using generalized elemental subroutines

Automated rapid prototyping of regular grid-based numerical ...

引用

IEEE 27th International Parallel and Distributed Processing Symposium (IPDPS)

作者： Situ, Yingchong Wang, Ye Li, Zhiyuan Purdue Univ Dept Comp Sci W Lafayette IN 47907 USA

ISBN: (纸本)9780769549712

Computational scientists and engineers commonly rely on established software libraries to achieve high performance and reliability in their numerical applications. Unfortunately, this approach does not work well if the desired functionality is absent in existing libraries or if the integration is difficult. In such scenarios, one is often forced to explore alternative algorithms and in-house implementations. Such exploration can be a challenging task for computational scientists and engineers without sufficient computer science background. To address this issue, we design and build an automated rapid prototyping tool for regular grid-based numerical applications. This new tool allows programmers to specify algorithms as composition of familiar computation patterns such as those easily found in open literature expressed as generalized elemental subroutines. The tool then automatically transforms such subroutines into code which adapts to the prescribed data structures and delivers performance expected from the underlying algorithms. We demonstrate the tool in use cases including a production-grade computational fluid dynamic application.

关键词： compiler analysis and optimization program transformation programming models

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