Rodrigo Arias Mallo
92cd88e365
The input dataset is not enough to determine which script produced a given plot.
78 lines
2.7 KiB
R
78 lines
2.7 KiB
R
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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# Read the timetable from args[1]
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input_file = "input.json"
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if (length(args)>0) { input_file = args[1] }
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if (length(args)>1) { output = args[2] } else { output = "?" }
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# Load the dataset in NDJSON format
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dataset = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
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jsonlite::flatten()
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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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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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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 = group_by(df, unitName, sizeFactor) %>%
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mutate(medianLatency = median(latency)) %>%
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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=300
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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="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", output)) +
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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(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=output) +
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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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