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Merge pull request #658 from SciML/fix-spelling-typos
[ci skip] Fix spelling errors
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benchmarks/sparselu.jl

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@@ -38,7 +38,7 @@ algs = [
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MKLPardisoFactorize(),
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SparspakFactorization()
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]
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cols = [:red, :blue, :green, :magenta, :turqoise] # one color per alg
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cols = [:red, :blue, :green, :magenta, :turquoise] # one color per alg
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lst = [:dash, :solid, :dashdot] # one line style per dim
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__parameterless_type(T) = Base.typename(T).wrapper

docs/src/tutorials/accelerating_choices.md

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@@ -34,7 +34,7 @@ there are a few major tips to note when fine tuning the results to your system:
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v7 it's no longer loaded by default! Thus if your matrices are in this range and you would
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value better run times at the cost of compile and load times, it is recommended you add
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`using RecursiveFactorization`. The defaulting algorithm will then consider it in its list
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and will automatically (in an architecture-specific way) insert it as it feels necesssary.
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and will automatically (in an architecture-specific way) insert it as it feels necessary.
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2. One of the major factors that can inhibit BLAS performance on LU factorization is multithreading.
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In many of these plots you can see a giant dip in GFLOPs (higher is better) when a certain size
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threshold is hit. This is because, for the number of chosen threads, there was not enough work

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