@@ -21,19 +21,7 @@ The Fixed decomposition just divide the domain as the user specified and assign
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@@ -21,19 +21,7 @@ The Fixed decomposition just divide the domain as the user specified and assign
The data driven decomposition instead consider the volume of the information the structure store and divide the volume equally them equally regardless of the communication.
The data driven decomposition instead consider the volume of the information the structure store and divide the volume equally them equally regardless of the communication.
In a distributed-memory setting, where data are scattered across
In a distributed-memory setting, where data are scattered across
processors, two factors are important: equal division of work across
processors, two factors are important: equal division of work across
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@@ -50,6 +38,17 @@ weights, and the sum of the cut edges is minimal (_Find optimal decomposition_).
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@@ -50,6 +38,17 @@ weights, and the sum of the cut edges is minimal (_Find optimal decomposition_).
the decomposition can be post-process further more to be more optimal and based on factors not considered by the optimization process, like merging vertex, or merging sub-sub-domain, to create bigger sub-domains.
the decomposition can be post-process further more to be more optimal and based on factors not considered by the optimization process, like merging vertex, or merging sub-sub-domain, to create bigger sub-domains.
Even if a model decomposition it is not bind to a graph model it is true that until now it is the best approach in scientific computation
Even if a model decomposition it is not bind to a graph model it is true that until now it is the best approach in scientific computation