saiph: add figures for blocking experiment

garlic/fig/saiph/blockingY_blocking_Z.R

@@ -0,0 +1,77 @@
+library(ggplot2)
+library(dplyr)
+library(scales)
+library(jsonlite)
+
+args=commandArgs(trailingOnly=TRUE)
+
+# Read the timetable from args[1]
+input_file = "input1.json"
+if (length(args)>0) { input_file = args[1] }
+
+input_file2 = "input2.json"
+if (length(args)>0) { input_file2 = args[1] }
+
+# Load the dataset in NDJSON format
+dataset = jsonlite::stream_in(file(input_file)) %>%
+	jsonlite::flatten()
+
+dataset2 = jsonlite::stream_in(file(input_file2)) %>%
+	jsonlite::flatten()
+
+
+# We only need the nblocks and time
+df = select(dataset, config.nby, time) %>%
+     rename(nby=config.nby)
+
+df$nby = as.factor(df$nby)
+
+df2 = select(dataset2, config.nbz, time) %>%
+      rename(nbz=config.nbz)
+
+df2$nbz = as.factor(df2$nbz)
+
+
+# Normalize the time by the median
+D=group_by(df, nby) %>%
+	mutate(tnorm = time / median(time) - 1) %>%
+	mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0)))
+
+D$bad = as.factor(D$bad)
+
+
+print(D)
+
+D2=group_by(df2, nbz) %>%
+	mutate(tnorm = time / median(time) - 1) %>%
+	mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0)))
+
+D2$bad = as.factor(D2$bad)
+
+print(D)
+print(D2)
+
+png("scatter-blockY8Z_yZ8.png", width=w*ppi, height=h*ppi, res=ppi)
+#
+## Create the plot with the normalized time vs nblocks
+p = ggplot() +
+	geom_point(data=D, aes(x=nby, y=time, colour="nby blocks - nbz = 8"), shape=1, size=3) +
+	geom_point(data=D2, aes(x=nbz, y=time, colour="nby = 8 - nbz blocks"), shape=1, size=3) +
+
+	labs(x="nb", y="Time (s)",
+              title=sprintf("Saiph-Heat3D blockingY/Z"), 
+              subtitle=input_file) +
+	theme_bw() +
+	theme(plot.subtitle=element_text(size=8)) +
+	theme(legend.position = "right") +
+
+	geom_point(shape=21, size=3) +
+	scale_colour_discrete("Blocked directions")
+	#+ scale_x_continuous(trans=log2_trans())
+	#+ scale_y_continuous(trans=log2_trans())
+
+# Render the plot
+print(p)
+
+# Save the png image
+dev.off()