saiph: add figures for blocking experiment

garlic/fig/saiph/granBlock.R

@@ -0,0 +1,67 @@
+library(ggplot2)
+library(dplyr)
+library(scales)
+library(jsonlite)
+
+args=commandArgs(trailingOnly=TRUE)
+
+# Read the timetable from args[1]
+input_file1 = "input1.json"
+if (length(args)>0) { input_file1 = args[1] }
+
+input_file2 = "input2.json"
+if (length(args)>1) { input_file2 = args[2] }
+
+# Load the dataset in NDJSON format
+dataset1 = jsonlite::stream_in(file(input_file1)) %>%
+	 jsonlite::flatten()
+dataset2 = jsonlite::stream_in(file(input_file2)) %>%
+	 jsonlite::flatten()
+
+# We only need the nblocks and time
+df1 = select(dataset1, config.nbx, time) %>%
+	rename(nb1=config.nbx)
+
+df2 = select(dataset2, config.nby, time) %>%
+	rename(nb2=config.nby)
+
+df1$nb1 = as.factor(df1$nb1)
+df2$nb2 = as.factor(df2$nb2)
+
+# Normalize the time by the median
+D1=group_by(df1, nb1)
+D2=group_by(df2, nb2) 
+
+print(D1)
+print(D2)
+
+ppi=300
+h=5
+w=7
+
+png("scatter_granularity_and_blocking.png", width=w*ppi, height=h*ppi, res=ppi)
+#
+## Create the plot with the normalized time vs nblocks
+p = ggplot() +
+    geom_point(data=D1, aes(x=nb1, y=time, colour = 'nbx-nby-nbz'), shape=1, size=4) +
+    geom_point(data=D2, aes(x=nb2, y=time, colour = 'nby-nbz'), shape=1, size=4) +
+
+	labs(x="nb", y="Time (s)",
+              title=sprintf("Saiph-Heat3D granularity & blocking"), 
+              subtitle=input_file1) +
+	theme_bw() +
+	theme(plot.subtitle=element_text(size=8)) +
+	#theme(legend.position = c(0.5, 0.88)) +
+	theme(legend.position = "right") +
+
+	geom_point(shape=21, size=3) +
+	#scale_x_continuous(trans=log2_trans()) +
+	scale_y_continuous(trans=log2_trans()) +
+	scale_colour_discrete("Blocked directions")
+
+
+# Render the plot
+print(p)
+
+# Save the png image
+dev.off()