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| # | |
| # thecostofsorting.R, 3 Feb 16 | |
| # | |
| # Data from: | |
| # | |
| # Energy-Efficient Data Processing at Sweet Spot Frequencies | |
| # Sebastian G{\"o}tz and Thomas Ilsche and Jorge Cardoso and Josef Spillner and Uwe A{\ss}mann and Wolfgang Nagel and Alexander Schill | |
| # | |
| # Example from: | |
| # Empirical Software Engineering using R | |
| # Derek M. Jones | |
| source("ESEUR_config.r") | |
| library("plyr") | |
| plot_layout(3, 1) | |
| plot_alg=function(df) | |
| { | |
| plot(0, type="n", | |
| xlim=range(df$frequency), ylim=range(df$ac), | |
| xlab="Frequency (MHz)", ylab="Power (Joules)\n") | |
| text(2000, max(df$ac), df$alg[1], cex=1.4) | |
| d_ply(df, .(dsize), function(df) points(df$frequency, df$ac, col=pal_col[df$dsize/10])) | |
| } | |
| sort_power=read.csv(paste0(ESEUR_dir, "benchmark/thecostofsorting.csv.xz"), as.is=TRUE) | |
| pal_col=rainbow(length(unique(sort_power$dsize))) | |
| # plot_alg(subset(sort_power, alg == "Count")) | |
| d_ply(sort_power, .(alg), plot_alg) | |