44 lines
1.0 KiB
R
44 lines
1.0 KiB
R
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library(ggplot2)
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library(dplyr)
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library(scales)
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library(jsonlite)
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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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# Load the dataset in NDJSON format
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dataset = jsonlite::stream_in(file(input_file)) %>%
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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, size, latency) %>%
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rename(unitName=config.unitName)
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df$unitName = as.factor(df$unitName)
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df$sizeFactor = as.factor(df$size)
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ppi=300
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h=8
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w=12
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png("latency.png", width=w*ppi, height=h*ppi, res=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="OSU latency benchmark",
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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_y_continuous(trans=log10_trans()) +
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scale_x_continuous(trans=log2_trans()) +
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theme_bw() +
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theme(legend.position = c(0.15, 0.9))
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# Render the plot
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print(p)
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## Save the png image
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dev.off()
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