hpcg: add plot for oss experiment

garlic/fig/hpcg/oss.R

@@ -0,0 +1,102 @@
+library(ggplot2)
+library(dplyr)
+library(scales)
+library(jsonlite)
+
+args=commandArgs(trailingOnly=TRUE)
+
+# Read the timetable from args[1]
+input_file = "input.json"
+if (length(args)>0) { input_file = args[1] }
+
+# Load the dataset in NDJSON format
+dataset = jsonlite::stream_in(file(input_file)) %>%
+	jsonlite::flatten()
+
+particles = unique(dataset$config.particles)
+
+# We only need the nblocks and time
+df = select(dataset, config.nblocks, config.hw.cpusPerSocket, time) %>%
+	rename(nblocks=config.nblocks,
+		cpusPerSocket=config.hw.cpusPerSocket)
+
+df = df %>% mutate(blocksPerCpu = nblocks / cpusPerSocket)
+df$nblocks = as.factor(df$nblocks)
+df$blocksPerCpuFactor = as.factor(df$blocksPerCpu)
+
+# Normalize the time by the median
+D=group_by(df, nblocks) %>%
+	mutate(tnorm = time / median(time) - 1)
+
+bs_unique = unique(df$nblocks)
+nbs=length(bs_unique)
+
+print(D)
+
+ppi=300
+h=5
+w=5
+
+png("box.png", width=w*ppi, height=h*ppi, res=ppi)
+#
+#
+#
+# Create the plot with the normalized time vs nblocks
+p = ggplot(data=D, aes(x=blocksPerCpuFactor, y=tnorm)) +
+
+	# Labels
+	labs(x="Num blocks", y="Normalized time",
+              title="HPCG normalized time", 
+              subtitle=input_file) +
+
+	# Center the title
+	#theme(plot.title = element_text(hjust = 0.5)) +
+
+	# Black and white mode (useful for printing)
+	#theme_bw() +
+
+	# Add the maximum allowed error lines
+	geom_hline(yintercept=c(-0.01, 0.01),
+		linetype="dashed", color="red") +
+
+	# Draw boxplots
+	geom_boxplot() +
+
+	#scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
+
+	theme_bw() +
+
+	theme(plot.subtitle=element_text(size=8)) +
+
+	theme(legend.position = c(0.85, 0.85)) #+
+
+
+
+
+# Render the plot
+print(p)
+
+## Save the png image
+dev.off()
+#
+png("scatter.png", width=w*ppi, height=h*ppi, res=ppi)
+#
+## Create the plot with the normalized time vs nblocks
+p = ggplot(D, aes(x=blocksPerCpuFactor, y=time)) +
+
+	labs(x="Blocks/CPU", y="Time (s)",
+              title="HPCG granularity", 
+              subtitle=input_file) +
+	theme_bw() +
+	theme(plot.subtitle=element_text(size=8)) +
+	theme(legend.position = c(0.5, 0.88)) +
+
+	geom_point(shape=21, size=3) +
+	#scale_x_continuous(trans=log2_trans()) +
+	scale_y_continuous(trans=log2_trans())
+
+# Render the plot
+print(p)
+
+# Save the png image
+dev.off()

overlay.nix

@@ -384,6 +384,12 @@ let
           };
         };
 
+        hpcg = {
+          oss = with ds.hpcg; pp.rPlot {
+            script = ./garlic/fig/hpcg/oss.R;
+            dataset = oss;
+          };
+        };
 
         heat = {
           test = with ds.heat; pp.rPlot {