Abstract
We present scheduling techniques considering the source code as well as the task graph of a parallel program. This approach allows to chose the proper scheduling algorithm and to estimate the execution time of the target program. We demonstrate this on stencil computations and their optimizations.
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Löwe, W., Zimmermann, W., Dickert, S., Eisenbiegler, J. (2001). Source Code and Task Graphs in Program Optimization. In: Hertzberger, B., Hoekstra, A., Williams, R. (eds) High-Performance Computing and Networking. HPCN-Europe 2001. Lecture Notes in Computer Science, vol 2110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48228-8_28
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DOI: https://doi.org/10.1007/3-540-48228-8_28
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