library(ggplot2) library(dplyr, warn.conflicts = FALSE) library(scales) library(jsonlite) library(stringr) args=commandArgs(trailingOnly=TRUE) # Read the timetable from args[1] input_file = "input.json" if (length(args)>0) { input_file = args[1] } if (length(args)>1) { output = args[2] } else { output = "?" } # Load the dataset in NDJSON format dataset = jsonlite::stream_in(file(input_file), verbose=FALSE) %>% jsonlite::flatten() # We only need the nblocks and time df = select(dataset, config.unitName, config.nodes, config.ntasksPerNode, config.cpusPerTask, size, latency) %>% rename(unitName=config.unitName) %>% mutate(unitName=str_replace(unitName, "osu-latency-", "")) nodes = unique(df$config.nodes) tasksPerNode = unique(df$config.ntasksPerNode) cpusPerTask = unique(df$config.cpusPerTask) df$unitName = as.factor(df$unitName) df$sizeFactor = as.factor(df$size) df = group_by(df, unitName, sizeFactor) %>% mutate(medianLatency = median(latency)) %>% ungroup() breaks = 10^(-10:10) minor_breaks <- rep(1:9, 21)*(10^rep(-10:10, each=9)) ppi=300 h=3 w=6 p = ggplot(data=df, aes(x=size, y=medianLatency)) + labs(x="Message size", y="Median latency (µs)", #title=sprintf("OSU benchmark: osu_latency", nodes, tasksPerNode, cpusPerTask), subtitle=output) + geom_line(aes(linetype=unitName)) + geom_point(aes(shape=unitName), size=2) + scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) + scale_x_continuous(trans=log2_trans(), labels=label_bytes("auto_binary"), n.breaks = 12)+ scale_shape_discrete(name = "MPI version") + scale_linetype_discrete(name = "MPI version") + theme_bw() + theme(plot.subtitle = element_text(size=8, family="mono")) + theme(legend.justification = c(0,1), legend.position = c(0.01, 0.99)) + theme(axis.text.x = element_text(angle=-45, hjust=0)) ggsave("median-lines.png", plot=p, width=w, height=h, dpi=ppi) ggsave("median-lines.pdf", plot=p, width=w, height=h, dpi=ppi) p = ggplot(data=df, aes(x=size, y=latency)) + labs(x="Size (bytes)", y="Latency (us)", #title=sprintf("OSU benchmark: osu_latency", nodes, tasksPerNode, cpusPerTask), subtitle=output) + geom_line(aes(y=medianLatency, linetype=unitName, group=unitName)) + geom_point(aes(shape=unitName), size=2) + scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) + scale_x_continuous(trans=log2_trans(), labels=label_bytes("auto_binary"), breaks=unique(df$size), minor_breaks=NULL) + theme_bw() + theme(plot.subtitle = element_text(color="gray50")) + theme(axis.text.x = element_text(angle=-45, hjust=0)) + theme(legend.position = c(0.2, 0.8)) ggsave("latency.png", plot=p, width=w, height=h, dpi=ppi) ggsave("latency.pdf", plot=p, width=w, height=h, dpi=ppi)