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WG211/M3Rauchwerger: Difference between revisions

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[[Category:WG211]]
[[Category:WG211]]


 
Lawrence Rauchwerger
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Title: STAPL: A High Productivity Parallel Programming Environment
Title: STAPL: A High Productivity Parallel Programming Environment
<br>Speaker: Lawrence Rauchwerger
<br>Speaker: Lawrence Rauchwerger
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Abstract:<br>
Abstract:<br>
The Standard Template Adaptive Parallel Library (STAPL) is a collection
The Standard Template Adaptive Parallel Library (STAPL) is a collection
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algorithm selection, and show that several common applications can be
algorithm selection, and show that several common applications can be
written with relative ease in STAPL and still have scalable performance.
written with relative ease in STAPL and still have scalable performance.
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Latest revision as of 14:51, 16 December 2011


Lawrence Rauchwerger

Title: STAPL: A High Productivity Parallel Programming Environment
Speaker: Lawrence Rauchwerger
Abstract:
The Standard Template Adaptive Parallel Library (STAPL) is a collection of generic data structures and algorithms that provides a high productivity, parallel programming infrastructure with an approach that draws heavily in design from the C++ Standard Template Library (STL). By abstracting much of the complexity of parallelism from the end user, STAPL provides a platform for high productivity by enabling the user to focus on algorithmic design instead of lower level parallel implementation issues. In this talk, we provide an overview of the major STAPL components, discuss its framework for adaptive algorithm selection, and show that several common applications can be written with relative ease in STAPL and still have scalable performance.