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osu: adjust figures for publication

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This commit is contained in:
Rodrigo Arias
2021-04-09 16:02:28 +02:00
parent 821b4f0d15
commit 1cb63b464d
3 changed files with 120 additions and 72 deletions
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37
garlic/fig/osu/mtu.R
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@@ -24,8 +24,9 @@ df = select(dataset,
size, bw, config.iterations) %>%
rename(unitName=config.unitName,
iterations=config.iterations,
PSM2_MQ_EAGER_SDMA_SZ=config.PSM2_MQ_EAGER_SDMA_SZ,
PSM2_MTU=config.PSM2_MTU)
PSM2_MQ_EAGER_SDMA_SZ.val=config.PSM2_MQ_EAGER_SDMA_SZ,
PSM2_MTU.val=config.PSM2_MTU) %>%
mutate(bw = bw / 1000.0)
nodes = unique(df$config.nodes)
tasksPerNode = unique(df$config.ntasksPerNode)
@@ -33,33 +34,35 @@ cpusPerTask = unique(df$config.cpusPerTask)
df$unitName = as.factor(df$unitName)
df$sizeFactor = as.factor(df$size)
df$sizeKB = df$size / 1024
df$PSM2_MQ_EAGER_SDMA_SZ.f = as.factor(df$PSM2_MQ_EAGER_SDMA_SZ)
df$PSM2_MTU.f = as.factor(df$PSM2_MTU)
df$PSM2_MQ_EAGER_SDMA_SZ = as.factor(df$PSM2_MQ_EAGER_SDMA_SZ.val)
df$PSM2_MTU = as.factor(df$PSM2_MTU.val)
iterations = unique(df$iterations)
df = group_by(df, unitName, sizeFactor) %>%
mutate(medianBw = median(bw)) %>%
mutate(median.bw = median(bw)) %>%
ungroup()
breaks = 10^(-10:10)
minor_breaks <- rep(1:9, 21)*(10^rep(-10:10, each=9))
ppi=150
h=6
w=8
ppi=300
h=3
w=6
p = ggplot(data=df, aes(x=sizeKB, y=bw)) +
labs(x="Message size (KB)", y="Bandwidth (MB/s)",
title=sprintf("OSU benchmark: osu_bw --iterations %d", iterations),
subtitle=input_file) +
geom_point(shape=21, size=3) +
geom_vline(aes(xintercept = PSM2_MQ_EAGER_SDMA_SZ/1024), color="blue") +
geom_vline(aes(xintercept = PSM2_MTU / 1024), color="red") +
geom_vline(aes(xintercept = PSM2_MQ_EAGER_SDMA_SZ.val/1024), color="blue") +
geom_vline(aes(xintercept = PSM2_MTU.val/1024), color="red") +
labs(x="Message size (KiB)", y="Bandwidth (GB/s)",
#title=sprintf("OSU benchmark: osu_bw --iterations %d", iterations),
subtitle=gsub("-", "\uad", input_file)) +
geom_point(shape=21, size=2) +
#annotate("text", x = 10.2, y = 8.5e3, label = "MTU = 10KB", color="red", hjust=0) +
facet_wrap(vars(PSM2_MTU.f), nrow=3, labeller = "label_both") +
scale_x_continuous(breaks = unique(df$sizeKB), minor_breaks=NULL) +
theme_bw()
facet_wrap(vars(PSM2_MTU), nrow=3, labeller = "label_both") +
#scale_x_continuous(breaks = unique(df$sizeKB), minor_breaks=NULL) +
scale_x_continuous(n.breaks = 12) +
theme_bw() +
theme(plot.subtitle = element_text(size=8, family="mono"))
ggsave("bw.png", plot=p, width=w, height=h, dpi=ppi)
ggsave("bw.pdf", plot=p, width=w, height=h, dpi=ppi)