forked from rarias/bscpkgs
60 lines
1.9 KiB
R
60 lines
1.9 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, bw) %>%
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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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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(median.bw = median(bw)) %>%
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ungroup()
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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=median.bw)) +
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labs(x="Message size", y="Bandwidth (GB/s)",
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subtitle=output) +
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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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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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labels=label_bytes("auto_binary"),
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n.breaks = 12,
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) +
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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(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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