Abstract | ||
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The article addresses the challenges of software development for current and future parallel computers, which are expected to be dominated by multicore and many-core architectures. Using these multicore processors for cluster systems will create systems with thousands of cores and deep memory hierarchies. To efficiently exploit the tremendous parallelism of these hardware platforms, a new generation of programming methodologies is needed. This article proposes a parallel programming methodology exploiting a task-based representation of application software. For the specification of task-based programs, a coordination language is presented, which uses external variables to express the cooperation between tasks. For the actual execution of a task-based program on a specific parallel architecture, different dynamic scheduling algorithms embedded into an execution environment are introduced. Runtime experiments for complex methods from a numerical analysis are performed on different parallel execution platforms. |
Year | DOI | Venue |
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2012 | 10.1177/1063293X12446664 | CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS |
Keywords | DocType | Volume |
Task-based programming,coordination language,scheduling,parallel execution,mapping | Journal | 20.0 |
Issue | ISSN | Citations |
SP2.0 | 1063-293X | 0 |
PageRank | References | Authors |
0.34 | 10 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thomas Rauber | 1 | 415 | 64.60 |
Gudula Rünger | 2 | 608 | 90.35 |