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13th ACM SIGPLAN International Conference on Functional Programming

作者： Fluet, Matthew Rainey, Mike Reppy, John Shaw, Adam Rochester Inst Technol Dept Comp Sci Rochester NY 14623 USA Univ Chicago Dept Comp Sci Chicago IL 60637 USA Toyota Technol Inst Chicago IL USA

ISBN: (纸本)9781595939197

The increasing availability of commodity multicore processors is making parallel computing ever more widespread. In order to exploit its potential, programmers need languages that make the benefits of parallelism accessible and understandable. Previous parallel languages have traditionally been intended for large-scale scientific computing, and they tend not to be well suited to programming the applications one typically finds on a desktop system. Thus, we need new parallel-language designs that address a broader spectrum of applications. The Manticore project is our effort to address this need. At its core is Parallel ML, a high-level functional language for programming parallel applications on commodity multicore hardware. Parallel ML provides a diverse collection of parallel constructs for different granularities of work. In this paper, we focus on the implicitly threaded parallel constructs of the language, which support fine-grained parallelism. We concentrate on those elements that distinguish our design from related ones, namely, a novel parallel binding form, a nondeterministic parallel case form, and the treatment of exceptions in the presence of data parallelism. These features differentiate the present work from related work on functional data-parallel language designs, which have focused largely on parallel problems with regular structure and the compiler transformations-most notably, flattening-that make such designs feasible. We present detailed examples utilizing various mechanisms of the language and give a formal description of our implementation.

关键词： Data parallelism Exceptions implicitly-threaded parallelism Parallel binding Parallel case

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implicitly-threaded parallelism in Manticore

引用

ACM SIGPLAN NOTICES 2008年第9期43卷 119-130页

作者： Fluet, Matthew Rainey, Mike Reppy, John Shaw, Adam Toyota Technol Inst Chicago IL 60637 USA Univ Chicago Chicago IL 60637 USA

The increasing availability of commodity multicore processors is making parallel computing available to the masses. Traditional parallel languages are largely intended for large-scale scientific computing and tend not to be well-suited to programming the applications one typically finds on a desktop system. Thus we need new parallel-language designs that address a broader spectrum of applications. In this paper, we present Manticore, a language for building parallel applications on commodity multicore hardware including a diverse collection of parallel constructs for different granularities of work. We focus on the implicitly-threaded parallel constructs in our high-level functional language. We concentrate on those elements that distinguish our design from related ones, namely, a novel parallel binding form, a nondeterministic parallel case form, and exceptions in the presence of data parallelism. These features differentiate the present work from related work on functional data parallel language designs, which has focused largely on parallel problems with regular structure and the compiler transformations - most notably, flattening - that make such designs feasible. We describe our implementation strategies and present some detailed examples utilizing various mechanisms of our language.

关键词： design languages implicitly-threaded parallelism data parallelism parallel binding parallel case exceptions

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