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Abstract: In this paper we analyze a graph model representing the dependencyand communication structureofaparallel application. This model is called Structural Parallelism Graph (SPG) and is similar to a task graph model. Nodes represent program components, arcs represent dependencies or activation (communication)components. This model can either bespecified by the user or generated (semi-)automatically from the parallel program or an annotatedsequential program. The objective of the analysis is to... (Update)
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...of TSPGs, because of the new concept of activation arcs. As an initial approach, a set of analysis tools has been presented in [BHK96] for the analysis of SPGs (without considering timing information) Based on the SPG representation, a state graph (SG) of the program is...
...used to characterize the application. In previous work, we have introduced a new graph model, the structural parallelism graph SPG ([8,9]) which provides two major advantages with regard to the traditional task graph as (1) it is more flexible as far as the level of...
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BibTeX entry: (Update)
Markus Braun, Guenter Haring, and Gabriele Kotsis. Deriving parallelism profiles from structural parallelism graphs. In Proc. of the TDP'96, 1996. http://citeseer.ist.psu.edu/braun96deriving.html More
@misc{ braun96deriving,
author = "M. Braun and G. Haring and G. Kotsis",
title = "Deriving parallelism profiles from structural parallelism graphs",
text = "Markus Braun, Guenter Haring, and Gabriele Kotsis. Deriving parallelism
profiles from structural parallelism graphs. In Proc. of the TDP'96, 1996.",
year = "1996",
url = "citeseer.ist.psu.edu/braun96deriving.html" }
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