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docs/sphinx/user_guide/run.rst

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@@ -141,9 +141,8 @@ the same code for each kernel on each rank with minimal synchronization points
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to gather execution timing data from all ranks. This capability is provided so
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that individual kernel performance more closely aligns with how such kernels
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would perform in a real application. For example, compute node memory bandwidth
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impact on performance may be different when running on many core system using
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OpenMP multithreading to exercise all cores than when each core is mapped to
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an MPI rank.
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may be different when running on a many core system using OpenMP multithreading
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to exercise all cores than when each core is mapped to an MPI rank.
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Running the Suite on multiple MPI ranks is just like running any other MPI
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application. For example, issuing the following command on a machine with

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