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docs/paper/paper.md

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@@ -65,11 +65,12 @@ by creating tensor product bases as outer products of one-dimensional
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bases. This leads to large multidimensional arrays that are
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distributed effortlessly through ``mpi4py-fft``.
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Throughout the ``spectralDNS`` (https://github.com/spectralDNS/spectralDNS)
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project ``shenfun`` is being used extensively for Direct Numerical
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Simulations (DNS) of turbulent flows [@mortensen16,@mortensen16b,@ketcheson],
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using arrays with billions of unknowns.
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project ``shenfun`` and ``mpi4py-fft`` are being utilized extensively for
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Direct Numerical Simulations (DNS) of turbulent flows
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[@mortensen16,@mortensen16b,@ketcheson], using arrays with billions of
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unknowns.
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``mpi4py-fft`` can be utilized by anyone that needs to perform FFTs on large
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``mpi4py-fft`` can be utilized by anyone in need of performing FFTs on large
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multidimensional arrays. Through its distributed array interface it can also be
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utilized by any application relying on algorithms (not just FFTs) with varying
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degrees of locality on multidimensional arrays, where MPI can be used to boost

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