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Beyond parallel programming with domain specific languages

Published:06 February 2014Publication History
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Abstract

Today, almost all computer architectures are parallel and heterogeneous; a combination of multiple CPUs, GPUs and specialized processors. This creates a challenging problem for application developers who want to develop high performance programs without the effort required to use low-level, architecture specific parallel programming models (e.g. OpenMP for CMPs, CUDA for GPUs, MPI for clusters). Domain-specific languages (DSLs) are a promising solution to this problem because they can provide an avenue for high-level application-specific abstractions with implicit parallelism to be mapped directly to low level architecture-specific programming models; providing both high programmer productivity and high execution performance.

In this talk I will describe an approach to building high performance DSLs, which is based on DSL embedding in a general purpose programming language, metaprogramming and a DSL infrastructure called Delite. I will describe how we transform DSL programs into efficient first-order low-level code using domain specific optimization, parallelism and locality optimization with parallel patterns, and architecture-specific code generation. All optimizations and transformations are implemented in Delite: an extensible DSL compiler infrastucture that significantly reduces the effort required to develop new DSLs. Delite DSLs for machine learning, data querying, graph analysis, and scientific computing all achieve performance competitive with manually parallelized C++ code.

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      • Published in

        cover image ACM SIGPLAN Notices
        ACM SIGPLAN Notices  Volume 49, Issue 8
        PPoPP '14
        August 2014
        390 pages
        ISSN:0362-1340
        EISSN:1558-1160
        DOI:10.1145/2692916
        Issue’s Table of Contents
        • cover image ACM Conferences
          PPoPP '14: Proceedings of the 19th ACM SIGPLAN symposium on Principles and practice of parallel programming
          February 2014
          412 pages
          ISBN:9781450326568
          DOI:10.1145/2555243

        Copyright © 2014 Owner/Author

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 February 2014

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