loba-besteffort/data/script.r

   1 ## Usage: launch R, and then: source("script.r")
   2
   3 ## save, and chane default options
   4 osp <- options("scipen")
   5 options(scipen=3)
   6
   7 ## load dataset (variable is "ds")
   8 load("data.rda")
   9
  10 ## extract data for plain algorithms, in real mode
  11 #ds.base <- subset(ds, Mode == "R" & grepl("[lt]_plain", Algo))
  12
  13 ## extract data for one experiment
  14 #xx <- subset(ds,
  15 #             Mode == "R" & Distrib == 1 & Ratio == "1:1" &
  16 #             Platform == "cluster" & Size == 16 & Topo == "line")
  17
  18
  19
  20 draw <- function(dset = ds,
  21                  draw_mode = "R",
  22                  draw_distrib = 1,
  23                  draw_ratio = "1:1",
  24                  draw_platform = "cluster",
  25                  draw_topo = "hcube") {
  26
  27   ## extract desired data
  28   dset <- subset(dset,
  29                  Mode == draw_mode & Distrib == draw_distrib &
  30                  Ratio == draw_ratio &
  31                  Platform == draw_platform & Topo == draw_topo)
  32
  33   ## reorder lines (first "plain", then "bookkeeping")
  34   dset <- rbind(subset(dset, grepl("plain", Algo)),
  35                 subset(dset, grepl("bookkeeping", Algo)))
  36   dset <- dset[order(dset$Size), ]
  37
  38   ## finally, add an "Index" attribute(, for further processing
  39   dset <- cbind(dset, Index=seq(1, length(dset$Size))) # FIXME
  40
  41   #print(dset)
  42
  43   ## save the graphical parameters
  44   p <- par(no.readonly=TRUE)
  45
  46   par(mar=c(13, 4, 4, 4) + 0.1,         # change margins
  47       mgp=c(11, 1, 0))
  48
  49   par(las=3)                           # always draw labels vertically
  50
  51   ## compute the time range: 0..max+20%
  52   time_range <- c(0, range(dset$Conv_max)[2] * 1.2)
  53
  54   ## first draw the bars
  55   barplot(dset$Conv_max, axes=FALSE, col="red",
  56           names=dset$Algo,
  57           ylim=time_range)
  58   barplot(dset$Conv_avg, axes=FALSE, col="green",
  59           add=TRUE)
  60   barplot(dset$Idle_avg, axes=FALSE, col="blue",
  61           add=TRUE)
  62
  63   ## draw the time axis on the left
  64   axis(2, labels=TRUE)
  65   mtext("Simulated time (s)", side=2, line=2.5)
  66
  67   title(xlab="Algorithms")
  68
  69   ## compute the data range
  70   x_data_range <- c(0.6, length(dset$Algo) + 0.4)
  71   data_range <- c(0, range(dset$Data_amnt)[2] * 1.04)
  72
  73   ## draw the data amnt line graphs
  74   for (alg in unique(dset$Algo)) {
  75     print(alg);
  76     dset.da <- subset(dset, Algo == alg)
  77     ## start a new graph, but drawn on the same device
  78     par(new=TRUE)
  79     plot(dset.da$Index, dset.da$Data_amnt, axes=FALSE, xlab="", type="b",
  80          xlim=x_data_range,
  81          yaxs="i", ylim=data_range)
  82   }
  83
  84   ## draw the data amnt axis on the right
  85   axis(4, labels=TRUE)
  86   mtext("Data amount (relative)", side=4, line=2.5)
  87
  88   ## finally, set title
  89   t <- paste0(dset$Mode[1], dset$Distrib[1], " / ",
  90               dset$Ratio[1], " / ",
  91               dset$Platform[1], " / ", dset$Topo[1])
  92   title(main=t)
  93
  94   ## restore the graphical parameters
  95   par(p)
  96
  97   return(dset)
  98 }
  99
 100 draw2 <- function(dset = ds,
 101                  draw_mode = "R",
 102                  draw_distrib = 1,
 103                  draw_ratio = "1:1",
 104                  draw_platform = "cluster",
 105                  draw_topo = "hcube") {
 106
 107   ## extract desired data
 108   dset <- subset(dset,
 109                  Mode == draw_mode & Distrib == draw_distrib &
 110                  Ratio == draw_ratio &
 111                  Platform == draw_platform & Topo == draw_topo)
 112
 113   ## reorder lines (first "plain", then "bookkeeping")
 114   dset <- rbind(subset(dset, grepl("plain", Algo)),
 115                 subset(dset, grepl("bookkeeping", Algo)))
 116   dset <- dset[order(dset$Size), ]
 117
 118   ## keep only useful data
 119   dset.long <- data.frame(Algo=dset$Algo, Size=dset$Size,
 120                           Idle_avg=dset$Idle_avg,
 121                           Conv_avg=dset$Conv_avg,
 122                           Conv_max=dset$Conv_max)
 123
 124   ## reshape data -> wide
 125   dset.wide <- reshape(dset.long, direction="wide",
 126                        idvar="Algo", timevar="Size")
 127
 128   ## rename rows
 129   rownames(dset.wide) <- sub("bookkeeping", "virtual", dset.wide$Algo)
 130   #colnames(dset.wide) <- sub("^[^.]*\\.", "", colnames(dset.wide))
 131
 132   ## remove first column (aka "Algo")
 133   dset.mat <- as.matrix(dset.wide[-1])
 134   nc <- nrow(dset.mat)
 135
 136   dset.plot <- dset.mat[, c(FALSE,FALSE,TRUE)]
 137   barplot(dset.plot, beside=TRUE,
 138           names.arg=sub("^[^.]*\\.", "", colnames(dset.plot)),
 139           col=gray.colors(nc)
 140 #          col=rainbow(nc, s=.5)
 141           )
 142
 143   dset.plot <- dset.mat[, c(FALSE,TRUE,FALSE)]
 144   barplot(dset.plot, beside=TRUE,
 145           axes=FALSE, axisnames=FALSE, add=TRUE,
 146           legend.text=TRUE,
 147           args.legend=list(x="topleft", inset=c(.02,0), title="Algorithms"),
 148           col=gray.colors(nc)
 149 #          col=rainbow(nc)
 150           )
 151
 152   dset.plot <- dset.mat[, c(TRUE,FALSE,FALSE)]
 153   barplot(dset.plot, beside=TRUE,
 154           axes=FALSE, axisnames=FALSE, add=TRUE,
 155           col="white"
 156 #          col=rainbow(nc, v=.5)
 157           )
 158
 159   ## finally, set titles
 160   t <- paste0(dset$Mode[1], dset$Distrib[1], " / ",
 161               dset$Ratio[1], " / ",
 162               dset$Platform[1], " / ", dset$Topo[1])
 163   title(xlab="Platform size",
 164         ylab="Simulated time (s)",
 165         main=t)
 166
 167 }
 168
 169 msg <- function(text,
 170                 wait = TRUE) {
 171   if (wait)
 172     readline("Press <Enter> to continue\n")
 173   message(text)
 174 }
 175
 176 if (FALSE) {
 177 msg("First test, with algorithms \"plain\"...", wait = FALSE);
 178 draw(subset(ds, grepl("[lt]_plain", Algo)), draw_distrib="N")
 179
 180 msg("... with draw2()...")
 181 draw2(subset(ds, grepl("[lt]_plain", Algo)), draw_distrib="N")
 182
 183 msg("Second test, with algorithms \"bookkeeping\"...");
 184 draw(subset(ds, grepl("[lt]_bookkeeping", Algo)), draw_distrib="N")
 185
 186 msg("... with draw2()...")
 187 draw2(subset(ds, grepl("[lt]_bookkeeping", Algo)), draw_distrib="N")
 188
 189 msg("Third test, with all algorithms...");
 190 draw(draw_distrib="N")
 191
 192 msg("... with draw2()...")
 193 draw2(draw_distrib="N")
 194 }
 195
 196 pdf.options(colormodel="grey")
 197 system("mkdir -pv graphs")
 198 for (m in c("R", "I")) {
 199   for (d in c("1", "N")) {
 200     for (r in c("10:1", "1:1", "1:10")) {
 201       for (t in c("line", "torus", "hcube")) {
 202         for (p in c("grid", "cluster")) {
 203           message(sprintf(">>> Drawing: %s%s / %s / %s / %s", m, d, r, p, t))
 204           filename <- sprintf("graphs/%s%s-%s-%s-%s.pdf", m, d, r, p, t)
 205           pdf(file=filename)
 206           draw2(#subset(ds, grepl("[lt]_plain", Algo)),
 207                 draw_mode=m, draw_distrib=d, draw_ratio=r,
 208                 draw_topo=t, draw_platform=p)
 209           dev.off()
 210           embedFonts(file=filename, options="-dPDFSETTINGS=/prepress")
 211         }
 212       }
 213     }
 214   }
 215 }
 216
 217 ## restore default options
 218 options(scipen=osp)