osu: adjust figures for publication
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821b4f0d15
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1cb63b464d
@ -2,6 +2,9 @@ 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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#library(extrafont)
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#library(Cairo)
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args=commandArgs(trailingOnly=TRUE)
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@ -15,7 +18,9 @@ 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, bw) %>%
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rename(unitName=config.unitName)
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rename(unitName=config.unitName) %>%
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mutate(bw=bw / 1024.0) %>%
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mutate(unitName=str_replace(unitName, "osu-bw-", ""))
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nodes = unique(df$config.nodes)
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tasksPerNode = unique(df$config.ntasksPerNode)
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@ -24,42 +29,69 @@ df$unitName = as.factor(df$unitName)
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df$sizeFactor = as.factor(df$size)
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df = group_by(df, unitName, sizeFactor) %>%
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mutate(medianBw = median(bw)) %>%
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mutate(median.bw = median(bw)) %>%
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ungroup()
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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=bw)) +
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labs(x="Size (bytes)", y="Bandwidth (MB/s)",
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title=sprintf("OSU bandwidth 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.pdf", plot=p, width=w, height=h, dpi=ppi)
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ggsave("boxplot.png", 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=medianBw)) +
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labs(x="Size (bytes)", y="Bandwidth (MB/s)",
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title=sprintf("OSU benchmark: osu_bw",
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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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geom_hline(yintercept = 100e3 / 8, color="red") +
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annotate("text", x = 8, y = (100e3 / 8) * 0.95, label = "12.5GB/s (100Gb/s)") +
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scale_x_continuous(trans=log2_trans()) +
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p = ggplot(data=df, aes(x=size, y=median.bw)) +
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labs(x="Message size", y="Bandwidth (GB/s)",
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#title=sprintf("OSU benchmark: osu_bw", 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=1.5) +
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scale_shape_discrete(name = "MPI version") +
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scale_linetype_discrete(name = "MPI version") +
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#scale_color_discrete(name = "MPI version") +
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geom_hline(yintercept=12.5, color="red") +
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annotate("text", x=1, y=12.5 * .95,
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label="Max: 12.5GB/s (100Gbps)",
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hjust=0, vjust=1, size=3) +
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#scale_x_continuous(trans=log2_trans()) +
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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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#breaks=unique(df$size),
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#minor_breaks=NULL
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) +
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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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theme(plot.subtitle = element_text(size=8, family="mono")) +
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theme(legend.justification = c(1,0), legend.position = c(0.99, 0.01)) +
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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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#ggsave("median-lines-cairo.pdf", plot=p, width=w, height=h, dpi=ppi, device=cairo_pdf)
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#CairoPDF(file="median-lines-Cairo.pdf", width=w, height=h)
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#print(p)
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#dev.off()
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p = ggplot(data=df, aes(x=size, y=bw)) +
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labs(x="Message size", y="Bandwidth (MB/s)",
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#title=sprintf("OSU benchmark: osu_bw", nodes, tasksPerNode, cpusPerTask),
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subtitle=input_file) +
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geom_line(aes(y=median.bw, linetype=unitName, group=unitName)) +
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geom_point(aes(shape=unitName), size=2) +
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scale_shape(solid = FALSE) +
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geom_hline(yintercept = 100e3 / 8, color="red") +
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annotate("text", x = 8, y = (100e3 / 8) * 0.95,
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label = "Max: 12.5GB/s (100Gbps)") +
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#scale_x_continuous(trans=log2_trans()) +
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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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#scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) +
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theme_bw() +
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theme(plot.subtitle = element_text(size=4)) +
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theme(legend.position = c(0.2, 0.6)) +
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theme(axis.text.x = element_text(angle=-45, hjust=0))
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ggsave("bw.png", plot=p, width=w, height=h, dpi=ppi)
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ggsave("bw.pdf", plot=p, width=w, height=h, dpi=ppi)
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warnings()
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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$size),
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minor_breaks=NULL) +
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theme_bw() +
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theme(plot.subtitle = element_text(color="gray50")) +
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theme(axis.text.x = element_text(angle=-45, hjust=0)) +
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theme(legend.position = c(0.2, 0.8))
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ggsave("latency.png", plot=p, width=w, height=h, dpi=ppi)
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ggsave("latency.pdf", plot=p, width=w, height=h, dpi=ppi)
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@ -24,8 +24,9 @@ df = select(dataset,
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size, bw, config.iterations) %>%
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rename(unitName=config.unitName,
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iterations=config.iterations,
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PSM2_MQ_EAGER_SDMA_SZ=config.PSM2_MQ_EAGER_SDMA_SZ,
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PSM2_MTU=config.PSM2_MTU)
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PSM2_MQ_EAGER_SDMA_SZ.val=config.PSM2_MQ_EAGER_SDMA_SZ,
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PSM2_MTU.val=config.PSM2_MTU) %>%
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mutate(bw = bw / 1000.0)
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nodes = unique(df$config.nodes)
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tasksPerNode = unique(df$config.ntasksPerNode)
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@ -33,33 +34,35 @@ cpusPerTask = unique(df$config.cpusPerTask)
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df$unitName = as.factor(df$unitName)
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df$sizeFactor = as.factor(df$size)
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df$sizeKB = df$size / 1024
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df$PSM2_MQ_EAGER_SDMA_SZ.f = as.factor(df$PSM2_MQ_EAGER_SDMA_SZ)
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df$PSM2_MTU.f = as.factor(df$PSM2_MTU)
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df$PSM2_MQ_EAGER_SDMA_SZ = as.factor(df$PSM2_MQ_EAGER_SDMA_SZ.val)
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df$PSM2_MTU = as.factor(df$PSM2_MTU.val)
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iterations = unique(df$iterations)
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df = group_by(df, unitName, sizeFactor) %>%
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mutate(medianBw = median(bw)) %>%
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mutate(median.bw = median(bw)) %>%
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ungroup()
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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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ppi=150
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h=6
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w=8
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ppi=300
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h=3
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w=6
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p = ggplot(data=df, aes(x=sizeKB, y=bw)) +
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labs(x="Message size (KB)", y="Bandwidth (MB/s)",
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title=sprintf("OSU benchmark: osu_bw --iterations %d", iterations),
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subtitle=input_file) +
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geom_point(shape=21, size=3) +
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geom_vline(aes(xintercept = PSM2_MQ_EAGER_SDMA_SZ/1024), color="blue") +
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geom_vline(aes(xintercept = PSM2_MTU / 1024), color="red") +
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geom_vline(aes(xintercept = PSM2_MQ_EAGER_SDMA_SZ.val/1024), color="blue") +
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geom_vline(aes(xintercept = PSM2_MTU.val/1024), color="red") +
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labs(x="Message size (KiB)", y="Bandwidth (GB/s)",
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#title=sprintf("OSU benchmark: osu_bw --iterations %d", iterations),
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subtitle=gsub("-", "\uad", input_file)) +
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geom_point(shape=21, size=2) +
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#annotate("text", x = 10.2, y = 8.5e3, label = "MTU = 10KB", color="red", hjust=0) +
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facet_wrap(vars(PSM2_MTU.f), nrow=3, labeller = "label_both") +
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scale_x_continuous(breaks = unique(df$sizeKB), minor_breaks=NULL) +
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theme_bw()
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facet_wrap(vars(PSM2_MTU), nrow=3, labeller = "label_both") +
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#scale_x_continuous(breaks = unique(df$sizeKB), minor_breaks=NULL) +
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scale_x_continuous(n.breaks = 12) +
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theme_bw() +
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theme(plot.subtitle = element_text(size=8, family="mono"))
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ggsave("bw.png", plot=p, width=w, height=h, dpi=ppi)
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ggsave("bw.pdf", plot=p, width=w, height=h, dpi=ppi)
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