tfit curves to performance plots - Granular.jl - Julia package for granular dynamics simulation
 (HTM) git clone git://src.adamsgaard.dk/Granular.jl
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       ---
 (DIR) commit 3d343ba1df2df9b297c8066fd88da57fc8dbe314
 (DIR) parent e65f3fdeb04421265a6773dade8052d3c1a2a777
 (HTM) Author: Anders Damsgaard <andersd@riseup.net>
       Date:   Fri, 16 Jun 2017 13:13:05 -0400
       
       fit curves to performance plots
       
       Diffstat:
         M test/profiling.jl                   |      18 +++++++++++++++++-
       
       1 file changed, 17 insertions(+), 1 deletion(-)
       ---
 (DIR) diff --git a/test/profiling.jl b/test/profiling.jl
       t@@ -1,6 +1,7 @@
        #!/usr/bin/env julia
        import Plots
        import SeaIce
       +import CurveFit
        using Base.Test
        
        info("#### $(basename(@__FILE__)) ####")
       t@@ -76,7 +77,7 @@ function timeSingleStepInDenseSimulation(nx::Int; verbose::Bool=true,
            return t_elapsed
        end
        
       -#nx = Int[4 8 10 12 16 19 24 28 32 36 42 50 64]
       +#nx = Int[4 8 16 32 64 96]
        nx = round(logspace(1, 2, 16))
        elements = zeros(length(nx))
        t_elapsed = zeros(length(nx))
       t@@ -97,10 +98,25 @@ Plots.scatter(elements, t_elapsed_all_to_all,
                      xscale=:log10,
                      yscale=:log10,
                      label="All to all")
       +fit_all_to_all = CurveFit.curve_fit(CurveFit.PowerFit,
       +                                    elements, t_elapsed_all_to_all)
       +label_all_to_all = @sprintf "%1.3g n^%3.2f" fit_all_to_all.coefs[1] fit_all_to_all.coefs[2]
       +
       +Plots.plot!(elements, fit_all_to_all(elements),
       +            xscale=:log10,
       +            yscale=:log10,
       +            label=label_all_to_all)
        Plots.scatter!(elements, t_elapsed_cell_sorting,
                       xscale=:log10,
                       yscale=:log10,
                       label="Cell-based spatial decomposition")
       +fit_cell_sorting = CurveFit.curve_fit(CurveFit.PowerFit,
       +                                    elements, t_elapsed_cell_sorting)
       +label_cell_sorting = @sprintf "%1.3g n^%3.2f" fit_cell_sorting.coefs[1] fit_cell_sorting.coefs[2]
       +Plots.plot!(elements, fit_cell_sorting(elements),
       +            xscale=:log10,
       +            yscale=:log10,
       +            label=label_cell_sorting)
        Plots.title!("Dense granular system " * "(host: $(gethostname()))")
        Plots.xaxis!("Number of ice floes")
        Plots.yaxis!("Wall time per time step [s]")