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saiph: use nby for granularity plot

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This commit is contained in:
Rodrigo Arias Mallo 2021-02-23 11:53:34 +01:00
parent 992af14c7f
commit 63b08fa4e8
1 changed files with 8 additions and 8 deletions
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16
garlic/fig/saiph/granularity.R
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@ -15,13 +15,13 @@ dataset = jsonlite::stream_in(file(input_file)) %>%
# We only need the nblocks and time
df = select(dataset, config.nbx, time) %>%
rename(nbx=config.nbx)
df = select(dataset, config.nby, time) %>%
rename(nby=config.nby)
df$nbx = as.factor(df$nbx)
df$nby = as.factor(df$nby)
# Normalize the time by the median
D=group_by(df, nbx) %>%
D=group_by(df, nby) %>%
mutate(tnorm = time / median(time) - 1) %>%
mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0)))
@ -39,10 +39,10 @@ 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=nbx, y=tnorm, color=bad)) +
p = ggplot(data=D, aes(x=nby, y=tnorm, color=bad)) +
# Labels
labs(x="nbx", y="Normalized time",
labs(x="nby", y="Normalized time",
title=sprintf("Saiph-Heat3D normalized time"),
subtitle=input_file) +
@ -80,9 +80,9 @@ 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=nbx, y=time)) +
p = ggplot(D, aes(x=nby, y=time)) +
labs(x="nbx", y="Time (s)",
labs(x="nby", y="Time (s)",
title=sprintf("Saiph-Heat3D granularity"),
subtitle=input_file) +
theme_bw() +