forked from rarias/bscpkgs
osu: adjust figures for publication
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@@ -2,6 +2,7 @@ library(ggplot2)
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library(dplyr, warn.conflicts = FALSE)
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library(scales)
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library(jsonlite)
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library(stringr)
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args=commandArgs(trailingOnly=TRUE)
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@@ -15,7 +16,8 @@ dataset = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
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# We only need the nblocks and time
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df = select(dataset, config.unitName, config.nodes, config.ntasksPerNode, config.cpusPerTask, size, latency) %>%
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rename(unitName=config.unitName)
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rename(unitName=config.unitName) %>%
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mutate(unitName=str_replace(unitName, "osu-latency-", ""))
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nodes = unique(df$config.nodes)
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tasksPerNode = unique(df$config.ntasksPerNode)
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@@ -30,34 +32,45 @@ df = group_by(df, unitName, sizeFactor) %>%
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breaks = 10^(-10:10)
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minor_breaks <- rep(1:9, 21)*(10^rep(-10:10, each=9))
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p = ggplot(data=df, aes(x=size, y=latency)) +
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labs(x="Size (bytes)", y="Latency (us)",
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title=sprintf("OSU latency benchmark nodes=%d tasksPerNode=%d cpusPerTask=%d",
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nodes, tasksPerNode, cpusPerTask),
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subtitle=input_file) +
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geom_boxplot(aes(color=unitName, group=interaction(unitName, sizeFactor))) +
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scale_x_continuous(trans=log2_trans()) +
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scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) +
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theme_bw() +
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theme(legend.position = c(0.8, 0.2))
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ppi=300
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h=4
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w=8
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ggsave("boxplot.png", plot=p, width=w, height=h, dpi=ppi)
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ggsave("boxplot.pdf", plot=p, width=w, height=h, dpi=ppi)
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h=3
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w=6
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p = ggplot(data=df, aes(x=size, y=medianLatency)) +
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labs(x="Size (bytes)", y="Latency (us)",
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title=sprintf("OSU benchmark: osu_latency",
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nodes, tasksPerNode, cpusPerTask),
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subtitle=input_file) +
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geom_line(aes(color=unitName, linetype=unitName)) +
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geom_point(aes(color=unitName, shape=unitName)) +
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scale_x_continuous(trans=log2_trans()) +
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labs(x="Message size", y="Median latency (µs)",
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#title=sprintf("OSU benchmark: osu_latency", nodes, tasksPerNode, cpusPerTask),
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subtitle=gsub("-", "\uad", input_file)) +
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geom_line(aes(linetype=unitName)) +
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geom_point(aes(shape=unitName), size=2) +
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scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) +
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scale_x_continuous(trans=log2_trans(),
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labels=label_bytes("auto_binary"),
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n.breaks = 12)+
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scale_shape_discrete(name = "MPI version") +
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scale_linetype_discrete(name = "MPI version") +
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theme_bw() +
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theme(legend.position = c(0.2, 0.8))
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theme(plot.subtitle = element_text(size=8, family="mono")) +
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theme(legend.justification = c(0,1), legend.position = c(0.01, 0.99)) +
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theme(axis.text.x = element_text(angle=-45, hjust=0))
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ggsave("median-lines.png", plot=p, width=w, height=h, dpi=ppi)
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ggsave("median-lines.pdf", plot=p, width=w, height=h, dpi=ppi)
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p = ggplot(data=df, aes(x=size, y=latency)) +
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labs(x="Size (bytes)", y="Latency (us)",
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#title=sprintf("OSU benchmark: osu_latency", nodes, tasksPerNode, cpusPerTask),
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subtitle=input_file) +
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geom_line(aes(y=medianLatency, linetype=unitName, group=unitName)) +
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geom_point(aes(shape=unitName), size=2) +
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scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) +
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scale_x_continuous(trans=log2_trans(),
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labels=label_bytes("auto_binary"),
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breaks=unique(df$size),
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minor_breaks=NULL) +
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theme_bw() +
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theme(plot.subtitle = element_text(color="gray50")) +
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theme(axis.text.x = element_text(angle=-45, hjust=0)) +
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theme(legend.position = c(0.2, 0.8))
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ggsave("latency.png", plot=p, width=w, height=h, dpi=ppi)
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ggsave("latency.pdf", plot=p, width=w, height=h, dpi=ppi)
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