93 lines
3.1 KiB
R
93 lines
3.1 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(viridis, warn.conflicts = FALSE)
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# Load the arguments (argv)
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args = commandArgs(trailingOnly=TRUE)
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if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
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df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
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jsonlite::flatten() %>%
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select(config.blocksize, config.gitBranch, unit, time) %>%
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rename(blocksize=config.blocksize, branch=config.gitBranch) %>%
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mutate(blocksize = as.factor(blocksize)) %>%
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mutate(branch = as.factor(branch)) %>%
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mutate(unit = as.factor(unit)) %>%
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group_by(unit) %>%
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mutate(median.time = median(time)) %>%
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mutate(normalized.time = time / median.time - 1) %>%
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mutate(log.median.time = log(median.time)) %>%
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ungroup()
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dpi = 300
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h = 5
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w = 8
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# ---------------------------------------------------------------------
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p = ggplot(df, aes(x=blocksize, y=median.time, color=branch)) +
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geom_point() +
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geom_line(aes(group=branch)) +
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theme_bw() +
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labs(x="Blocksize", y="Median time (s)", title="NBody Granularity: Median Time",
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subtitle=input_file) +
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theme(plot.subtitle=element_text(size=5)) +
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theme(legend.position="bottom") +
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theme(legend.text = element_text(size=7))
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ggsave("median.time.png", plot=p, width=w, height=h, dpi=dpi)
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ggsave("median.time.pdf", plot=p, width=w, height=h, dpi=dpi)
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# ---------------------------------------------------------------------
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p = ggplot(df, aes(x=blocksize, y=normalized.time, color=branch)) +
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geom_boxplot() +
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geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
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facet_wrap(~ branch) +
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theme_bw() +
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labs(x="Blocksize", y="Normalized Time", title="NBody Granularity: Normalized Time",
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subtitle=input_file) +
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theme(plot.subtitle=element_text(size=5)) +
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theme(legend.position="bottom") +
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theme(legend.text = element_text(size=7))
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ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
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ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
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# ---------------------------------------------------------------------
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p = ggplot(df, aes(x=blocksize, y=time, color=branch)) +
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geom_point(shape=21, size=3) +
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theme_bw() +
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labs(x="Blocksize", y="Time (s)", title="NBody Granularity: Time",
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subtitle=input_file) +
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theme(plot.subtitle=element_text(size=5)) +
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theme(legend.position="bottom") +
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theme(legend.text = element_text(size=7))
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ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
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ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
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# ---------------------------------------------------------------------
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p = ggplot(df, aes(x=blocksize, y=branch, fill=median.time)) +
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geom_raster() +
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scale_fill_viridis(option="plasma") +
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coord_fixed() +
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theme_bw() +
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labs(x="Blocksize", y="Branch", title="NBody Granularity: Time",
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subtitle=input_file) +
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theme(plot.subtitle=element_text(size=5)) +
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theme(legend.position="bottom") +
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theme(legend.text = element_text(size=7))
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ggsave("time.heatmap.png", plot=p, width=w, height=h, dpi=dpi)
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ggsave("time.heatmap.pdf", plot=p, width=w, height=h, dpi=dpi)
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