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Erschienen in:
2012 | OriginalPaper | Buchkapitel
11. Temanejo: Debugging of Thread-Based Task-Parallel Programs in StarSS
verfasst von : Rainer Keller, Steffen Brinkmann, José Gracia, Christoph Niethammer
Erschienen in: Tools for High Performance Computing 2011
Verlag: Springer Berlin Heidelberg
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Abstract
To make use of manycore processors and even accelerators, several parallel programming paradigms exist, such as OpenMP, CAPS HMPP and the StarSs programming model. All of these programming models provide the means for programmers to express parallelism in the source code, identifying tasks and for all but OpenMP the dependency between those, allowing the compiler and the runtime to schedule tasks onto multiple concurrent executing entities, like threads in a many-core systems. While the programmer may have a good overview of which parts of the code may be run independently as separate tasks on a fine granular level, the overall execution behavior may not be obvious at first. This paper describes the usability features of the newly developed Temanejo debugger.