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osu: add figures using the fast generators

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This commit is contained in:
Rodrigo Arias
2021-03-01 12:19:10 +01:00
parent 1d015c7e1e
commit 4ffb609261
5 changed files with 72 additions and 45 deletions
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50
garlic/fig/osu/bw.R Normal file
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@@ -0,0 +1,50 @@
library(ggplot2)
library(dplyr)
library(scales)
library(jsonlite)
args=commandArgs(trailingOnly=TRUE)
# Read the timetable from args[1]
input_file = "input.json"
if (length(args)>0) { input_file = args[1] }
# Load the dataset in NDJSON format
dataset = jsonlite::stream_in(file(input_file)) %>%
jsonlite::flatten()
# We only need the nblocks and time
df = select(dataset, config.unitName, config.nodes, config.ntasksPerNode, config.cpusPerTask, size, bw) %>%
rename(unitName=config.unitName)
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)
ppi=300
h=8
w=12
png("bw.png", width=w*ppi, height=h*ppi, res=ppi)
breaks = 10^(-10:10)
minor_breaks <- rep(1:9, 21)*(10^rep(-10:10, each=9))
p = ggplot(data=df, aes(x=size, y=bw)) +
labs(x="Size (bytes)", y="Bandwidth (MB/s)",
title=sprintf("OSU bandwidth benchmark: nodes=%d tasksPerNode=%d cpusPerTask=%d",
nodes, tasksPerNode, cpusPerTask),
subtitle=input_file) +
geom_boxplot(aes(color=unitName, group=interaction(unitName, sizeFactor))) +
scale_x_continuous(trans=log2_trans()) +
scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) +
theme_bw() +
theme(legend.position = c(0.15, 0.9))
# Render the plot
print(p)
## Save the png image
dev.off()

13
garlic/fig/osu/latency.R
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@@ -14,9 +14,12 @@ dataset = jsonlite::stream_in(file(input_file)) %>%
jsonlite::flatten()
# We only need the nblocks and time
df = select(dataset, config.unitName, size, latency) %>%
df = select(dataset, config.unitName, config.nodes, config.ntasksPerNode, config.cpusPerTask, size, latency) %>%
rename(unitName=config.unitName)
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)
@@ -26,13 +29,17 @@ w=12
png("latency.png", width=w*ppi, height=h*ppi, res=ppi)
breaks = 10^(-10:10)
minor_breaks <- rep(1:9, 21)*(10^rep(-10:10, each=9))
p = ggplot(data=df, aes(x=size, y=latency)) +
labs(x="Size (bytes)", y="Latency (us)",
title="OSU latency benchmark",
title=sprintf("OSU latency benchmark nodes=%d tasksPerNode=%d cpusPerTask=%d",
nodes, tasksPerNode, cpusPerTask),
subtitle=input_file) +
geom_boxplot(aes(color=unitName, group=interaction(unitName, sizeFactor))) +
scale_y_continuous(trans=log10_trans()) +
scale_x_continuous(trans=log2_trans()) +
scale_y_log10(breaks = breaks, minor_breaks = minor_breaks) +
theme_bw() +
theme(legend.position = c(0.15, 0.9))