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  1. Proceedings of the 2010 Workshop on Parallel Programming Patterns (ParaPLoP '10)
  2. Mechanisms that separate algorithms from implementations for parallel patterns
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Follow the data: concurrent execution pattern
Patterns for cache optimizations on multi-processor machines
A pattern for efficient parallel computation on multicore processors with scalar operand networks
Ghost Cell Pattern
Three layer cake for shared-memory programming
Patterns of optimized loops
Concurrent evaluation of a directed acylic graph
The task graph pattern
A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects
Parallel sorting pattern
Mechanisms that separate algorithms from implementations for parallel patterns
Towards using and improving the NAS parallel benchmarks: a parallel patterns approach
A pattern language for parallelizing irregular algorithms
The Shared Map pattern
Monte Carlo methods: a computational pattern for our pattern language

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Mechanisms that separate algorithms from implementations for parallel patterns

Content Provider ACM Digital Library
Author Krieger, Christopher D. Strout, Michelle Mills Stone, Andrew
Abstract Parallel programming implementation details often obfuscate the original algorithm and make later algorithm maintenance difficult. Although parallel programming patterns help guide the structured development of parallel programs, they do not necessarily avoid the code obfuscation problem. In this paper, we observe how emerging and existing programming models realized as programming languages, preprocessor directives, and/or libraries are able to support the Implementation Strategy Patterns that were proposed as part of the Our Pattern Language. We posit that these emerging programming models are in some cases able to avoid code obfuscation through features that prevent tangling of algorithm and implementation details for parallelization and performance optimizations. We qualitatively evaluate these features in terms of how much they prevent tangling and how well they provide programmer-control over implementation details. We conclude with remarks on potential research directions for studying how to produce efficient and maintainable parallel programs by separating algorithm from implementation.
Starting Page 1
Ending Page 12
Page Count 12
File Format PDF
ISBN 9781450301275
DOI 10.1145/1953611.1953622
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-03-30
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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