creams: update figures using one single pipeline

2021-03-30 15:59:52 +02:00
parent 87f751185c
commit 76deac0a63
4 changed files with 212 additions and 166 deletions
--- a/garlic/fig/creams/granularity.R
+++ b/garlic/fig/creams/granularity.R
@@ -0,0 +1,97 @@
+library(ggplot2)
+library(dplyr, warn.conflicts = FALSE)
+library(scales)
+library(jsonlite)
+library(viridis, warn.conflicts = FALSE)
+library(stringr)
+
+args = commandArgs(trailingOnly=TRUE)
+
+# Set the input dataset if given in argv[1], or use "input" as default
+if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
+
+df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
+
+  jsonlite::flatten() %>%
+
+  select(unit,
+    config.nodes,
+    config.gitBranch,
+    config.granul,
+    config.iterations,
+    time,
+    total_time) %>%
+
+  rename(nodes=config.nodes,
+    gitBranch=config.gitBranch,
+    granul=config.granul,
+    iterations=config.iterations) %>%
+
+  # Remove the "garlic/" prefix from the gitBranch
+  mutate(branch = str_replace(gitBranch, "garlic/", "")) %>%
+
+  # Computations  before converting to factor
+  mutate(time.iter = time / iterations) %>%
+
+  # Convert to factors
+  mutate(unit = as.factor(unit)) %>%
+  mutate(nodesFactor = as.factor(nodes)) %>%
+  mutate(gitBranch = as.factor(gitBranch)) %>%
+  mutate(granul = as.factor(granul)) %>%
+  mutate(iterations = as.factor(iterations)) %>%
+  mutate(unit = as.factor(unit)) %>%
+
+  # Compute median times
+  group_by(unit) %>%
+  mutate(median.time = median(time)) %>%
+  mutate(normalized.time = time / median.time - 1) %>%
+  mutate(log.median.time = log(median.time)) %>%
+  mutate(median.time.iter = median(time.iter)) %>%
+  ungroup()
+
+dpi = 300
+h = 6
+w = 6
+
+# ---------------------------------------------------------------------
+
+p = ggplot(df, aes(x=granul, y=normalized.time)) +
+  geom_boxplot() +
+  geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
+  theme_bw() +
+  facet_wrap(branch ~ .) +
+  labs(x="granul", y="Normalized time",
+       title="Creams granularity: normalized time", 
+    subtitle=input_file) + 
+  theme(plot.subtitle=element_text(size=8))
+
+ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
+ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
+
+# ---------------------------------------------------------------------
+
+p = ggplot(df, aes(x=granul, y=time)) +
+  geom_point(shape=21, size=3) +
+  geom_line(aes(y=median.time, group=iterations)) +
+  theme_bw() +
+  facet_wrap(branch ~ .) +
+  labs(x="granul", y="Time (s)", title="Creams granularity: time", 
+    subtitle=input_file) + 
+  theme(plot.subtitle=element_text(size=8))
+
+ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
+ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
+
+# ---------------------------------------------------------------------
+
+p = ggplot(df, aes(x=granul, y=time.iter, color=iterations)) +
+  geom_point(shape=21, size=3) +
+  geom_line(aes(y=median.time.iter, group=iterations)) +
+  theme_bw() +
+  facet_wrap(branch ~ .) +
+  labs(x="granul", y="Time (s)", title="Creams granularity: time / iterations", 
+    subtitle=input_file) + 
+  theme(plot.subtitle=element_text(size=8))
+
+ggsave("time.iter.png", plot=p, width=w, height=h, dpi=dpi)
+ggsave("time.iter.pdf", plot=p, width=w, height=h, dpi=dpi)