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Subgraphing Performance Expectations

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Noah L. Schrick 2022-03-21 12:03:26 -05:00
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A node dedicated to database operations is also present in this approach. The work performed for the subgraphing approach is identical to the work performed by Tasks 4 and 5 in the tasking approach, which is discussed in Section \ref{sec:T4T5}. A node dedicated to database operations is also present in this approach. The work performed for the subgraphing approach is identical to the work performed by Tasks 4 and 5 in the tasking approach, which is discussed in Section \ref{sec:T4T5}.
\TUsubsection{Performance Expectations} \TUsubsection{Performance Expectations}
This approach is intended to reduce runtime when the frontier grows at a rate faster than can be explored. However, since this approach is designed for distributed systems, there is no guarantee that speedup can be achieved when duplicate work is performed. Not only is there wasted time by the worker nodes when duplicate work occurs, but duplicate work also contributes to a longer runtime due to increased communication between nodes to adequately explore the graph, and also leads to increased numbers of merging calls by the root node. The ideal scenario for the subgraphing approach is when the graph is sparse, and the graph more aligns with a tree structure where each node only has one parent. When the graph is sparse, there is a lower likelihood of duplicate work occurring, since worker nodes have a lower probability of exploring a graph node that connects to a different graph node that has been (or will be) explored by another worker node. If each graph node were only able to have one parent, there is a lower likelihood that worker nodes would explore the same graph cluster.
\TUsubsection{Results}

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