96 lines
3.3 KiB
TeX
96 lines
3.3 KiB
TeX
%%% R code to generate the input data files from corresponding simulation logs
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% R> setwd("~/Work/tensorPredictors")
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% R>
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% R> for (sim.name in c("2a")) {
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% R> pattern <- paste0("sim\\_", sim.name, "\\_ising\\-[0-9T]*\\.csv")
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% R> log.file <- sort(
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% R> list.files(path = "sim/", pattern = pattern, full.names = TRUE),
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% R> decreasing = TRUE
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% R> )[[1]]
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% R>
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% R> sim <- read.csv(log.file)
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% R>
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% R> aggr <- aggregate(sim[, names(sim) != "sample.size"], list(sample.size = sim$sample.size), mean)
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% R>
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% R> write.table(aggr, file = paste0("LaTeX/plots/aggr-", sim.name, "-ising.csv"), row.names = FALSE, quote = FALSE)
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% R> }
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\documentclass[border=0cm]{standalone}
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\usepackage{tikz}
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\usepackage{pgfplots}
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\usepackage{amssymb, bm}
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\definecolor{exact}{RGB}{230,0,0}
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\definecolor{MC}{RGB}{30,180,30}
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\definecolor{MCthrd}{RGB}{0,0,230}
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\pgfplotsset{
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compat=newest,
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grid=both,
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grid style={gray!15}
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}
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\tikzset{
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legend entry/.style={
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mark = *,
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mark size = 1pt,
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mark indices = {2},
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line width=0.8pt
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}
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}
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\begin{document}
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\begin{tikzpicture}[>=latex]
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\begin{axis}[
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name=perft,
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xmode = normal, ymode = log,
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xtick={10, 30, 50, 70, 90, 110, 130},
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mark = *,
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mark size = 1pt,
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ytick={1,1e1,1e2,1e3,1e4,1e5,1e6,1e7},
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yticklabels={$1\mu s$,$10\mu s$,$100\mu s$,$1 ms$,$10 ms$,$100 ms$,$1 s$,$10 s$},
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xlabel = {Dimension $p$},
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ylabel = {Time}
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]
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\addplot[
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only marks,
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color = exact
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] table[x = dim, y = exact] {aggr-ising-perft-m2.csv};
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\addplot[
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only marks,
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color = MC
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] table[x = dim, y = MC] {aggr-ising-perft-m2.csv};
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\addplot[
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only marks,
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color = MCthrd
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] table[x = dim, y = MCthrd] {aggr-ising-perft-m2.csv};
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\addplot[smooth, domain = 8:25, color = exact, samples = 64] { 2^(x - 3) };
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\addplot[smooth, domain = 1:130, color = MC, samples = 64] {
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-18340.8 + 7557.0 * x + 200.3 * x^2
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};
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\addplot[smooth, domain = 1:130, color = MCthrd, samples = 64] {
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8413.21 + 3134.98 * x + 41.87 * x^2
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};
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\end{axis}
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\matrix[anchor = west] at (perft.east) {
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\draw[color=exact, only marks, mark = *, mark size = 1pt, mark indices = {2}] plot coordinates {(0, 0) (.3, 0) (.6, 0)};
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& \node[anchor=west] {exact}; \\
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\draw[color=exact, line width = 0.8pt] plot coordinates {(0, 0) (.4, 0)};
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& \node[anchor=west] {$\mathcal{O}(2^p)$}; \\
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\draw[color=MC, only marks, mark = *, mark size = 1pt, mark indices = {2}] plot coordinates {(0, 0) (.3, 0) (.6, 0)};
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& \node[anchor=west] {MC}; \\
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\draw[color=MC, line width = 0.8pt] plot coordinates {(0, 0) (.4, 0)};
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& \node[anchor=west] {$\mathcal{O}(p^2)$}; \\
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\draw[color=MCthrd, only marks, mark = *, mark size = 1pt, mark indices = {2}] plot coordinates {(0, 0) (.3, 0) (.6, 0)};
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& \node[anchor=west] {MC (8 thrd)}; \\
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\draw[color=MCthrd, line width = 0.8pt] plot coordinates {(0, 0) (.4, 0)};
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& \node[anchor=west] {$\mathcal{O}(p^2)$}; \\
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};
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\node[anchor = south] at (current bounding box.north) {Ising Second Moment Performance Test};
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\end{tikzpicture}
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\end{document}
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