nbody: fix indentation in baseline R script

This commit is contained in:
Rodrigo Arias Mallo 2021-03-03 18:28:38 +01:00
parent 133ef50bb4
commit 26ab2d9bbd

View File

@ -12,7 +12,7 @@ if (length(args)>0) { input_file = args[1] }
# Load the dataset in NDJSON format
dataset = jsonlite::stream_in(file(input_file)) %>%
jsonlite::flatten()
jsonlite::flatten()
particles = unique(dataset$config.particles)
@ -25,12 +25,12 @@ df = select(dataset,
config.particles,
config.gitBranch,
time) %>%
rename(nblocks=config.nblocks,
rename(nblocks=config.nblocks,
nodes=config.nodes,
blocksize=config.blocksize,
particles=config.particles,
gitBranch=config.gitBranch,
cpusPerSocket=config.hw.cpusPerSocket)
cpusPerSocket=config.hw.cpusPerSocket)
df = df %>% mutate(blocksPerCpu = nblocks / cpusPerSocket)
df$nblocks = as.factor(df$nblocks)
@ -42,22 +42,23 @@ df$gitBranch = as.factor(df$gitBranch)
# Normalize the time by the median
D=group_by(df, nblocks, nodesFactor, gitBranch) %>%
mutate(tmedian = median(time)) %>%
mutate(tnorm = time / median(time) - 1) %>%
mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0))) %>%
mutate(tmedian = median(time)) %>%
mutate(tn = tmedian * nodes) %>%
mutate(tnorm = time / median(time) - 1) %>%
mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0))) %>%
ungroup() %>%
group_by(nodesFactor, gitBranch) %>%
mutate(tmedian_min = min(tmedian)) %>%
mutate(tmedian_min = min(tmedian)) %>%
ungroup() %>%
group_by(gitBranch) %>%
mutate(tmin_max = max(tmedian_min)) %>%
mutate(tideal = tmin_max / nodes) %>%
mutate(tmin_max = max(tmedian_min)) %>%
mutate(tideal = tmin_max / nodes) %>%
ungroup()
D$bad = as.factor(D$bad)
#D$bad = as.factor(ifelse(abs(D$tnorm) >= 0.01, 2,
# ifelse(abs(D$tnorm) >= 0.005, 1, 0)))
# ifelse(abs(D$tnorm) >= 0.005, 1, 0)))
bs_unique = unique(df$nblocks)
nbs=length(bs_unique)
@ -75,34 +76,34 @@ png("box.png", width=w*ppi, height=h*ppi, res=ppi)
# Create the plot with the normalized time vs nblocks
p = ggplot(data=D, aes(x=blocksPerCpuFactor, y=tnorm, color=bad)) +
# Labels
labs(x="Blocks/CPU", y="Normalized time",
# Labels
labs(x="Blocks/CPU", y="Normalized time",
title=sprintf("Nbody normalized time. Particles=%d", particles),
subtitle=input_file) +
# Center the title
#theme(plot.title = element_text(hjust = 0.5)) +
# Center the title
#theme(plot.title = element_text(hjust = 0.5)) +
# Black and white mode (useful for printing)
#theme_bw() +
# Black and white mode (useful for printing)
#theme_bw() +
# Add the maximum allowed error lines
geom_hline(yintercept=c(-0.01, 0.01),
linetype="dashed", color="gray") +
# Add the maximum allowed error lines
geom_hline(yintercept=c(-0.01, 0.01),
linetype="dashed", color="gray") +
# Draw boxplots
geom_boxplot(aes(fill=nodesFactor)) +
scale_color_manual(values=c("black", "brown")) +
# Draw boxplots
geom_boxplot(aes(fill=nodesFactor)) +
scale_color_manual(values=c("black", "brown")) +
facet_grid(gitBranch ~ .) +
#scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
#scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
#theme(legend.position = "none")
#theme(legend.position = c(0.85, 0.85))
theme_bw()+
theme(plot.subtitle=element_text(size=8))
#theme(legend.position = "none")
#theme(legend.position = c(0.85, 0.85))
theme_bw()+
theme(plot.subtitle=element_text(size=8))
@ -114,20 +115,20 @@ dev.off()
p1 = ggplot(D, aes(x=blocksizeFactor, y=time)) +
labs(x="Blocksize", y="Time (s)",
labs(x="Blocksize", y="Time (s)",
title=sprintf("Nbody granularity. Particles=%d", particles),
subtitle=input_file) +
theme_bw() +
theme(plot.subtitle=element_text(size=8)) +
#theme(legend.position = c(0.5, 0.8)) +
theme_bw() +
theme(plot.subtitle=element_text(size=8)) +
#theme(legend.position = c(0.5, 0.8)) +
geom_line(aes(y=tmedian,
geom_line(aes(y=tmedian,
group=interaction(gitBranch, nodesFactor),
color=nodesFactor)) +
geom_point(aes(color=nodesFactor), size=3, shape=21) +
geom_point(aes(color=nodesFactor), size=3, shape=21) +
facet_grid(gitBranch ~ .) +
scale_shape_manual(values=c(21, 22)) +
scale_y_continuous(trans=log2_trans())
scale_shape_manual(values=c(21, 22)) +
scale_y_continuous(trans=log2_trans())
png("time-blocksize.png", width=w*ppi, height=h*ppi, res=ppi)
print(p1)
@ -135,20 +136,20 @@ dev.off()
p2 = ggplot(D, aes(x=blocksPerCpuFactor, y=time)) +
labs(x="Blocks/CPU", y="Time (s)",
labs(x="Blocks/CPU", y="Time (s)",
title=sprintf("Nbody granularity. Particles=%d", particles),
subtitle=input_file) +
theme_bw() +
theme(plot.subtitle=element_text(size=8)) +
theme_bw() +
theme(plot.subtitle=element_text(size=8)) +
geom_line(aes(y=tmedian,
geom_line(aes(y=tmedian,
group=interaction(gitBranch, nodesFactor),
color=nodesFactor)) +
geom_point(aes(color=nodesFactor), size=3, shape=21) +
geom_point(aes(color=nodesFactor), size=3, shape=21) +
facet_grid(gitBranch ~ .) +
scale_shape_manual(values=c(21, 22)) +
scale_y_continuous(trans=log2_trans())
scale_shape_manual(values=c(21, 22)) +
scale_y_continuous(trans=log2_trans())
png("time-blocks-per-cpu.png", width=w*ppi, height=h*ppi, res=ppi)
print(p2)
@ -163,37 +164,37 @@ dev.off()
png("exp-space.png", width=w*ppi, height=h*ppi, res=ppi)
p = ggplot(data=df, aes(x=nodesFactor, y=particlesFactor)) +
labs(x="Nodes", y="Particles", title="Nbody: Experiment space") +
geom_line(aes(group=particles)) +
geom_point(aes(color=nodesFactor), size=3) +
labs(x="Nodes", y="Particles", title="Nbody: Experiment space") +
geom_line(aes(group=particles)) +
geom_point(aes(color=nodesFactor), size=3) +
facet_grid(gitBranch ~ .) +
theme_bw()
theme_bw()
print(p)
dev.off()
png("gra-space.png", width=w*ppi, height=h*ppi, res=ppi)
p = ggplot(data=D, aes(x=nodesFactor, y=blocksPerCpuFactor)) +
labs(x="Nodes", y="Blocks/CPU", title="Nbody: Granularity space") +
geom_line(aes(group=nodesFactor)) +
geom_point(aes(color=nodesFactor), size=3) +
labs(x="Nodes", y="Blocks/CPU", title="Nbody: Granularity space") +
geom_line(aes(group=nodesFactor)) +
geom_point(aes(color=nodesFactor), size=3) +
facet_grid(gitBranch ~ .) +
theme_bw()
theme_bw()
print(p)
dev.off()
png("performance.png", width=w*ppi, height=h*ppi, res=ppi)
p = ggplot(D, aes(x=nodesFactor)) +
labs(x="Nodes", y="Time (s)", title="Nbody strong scaling") +
theme_bw() +
geom_line(aes(y=tmedian,
labs(x="Nodes", y="Time (s)", title="Nbody strong scaling") +
theme_bw() +
geom_line(aes(y=tmedian,
linetype=blocksPerCpuFactor,
group=interaction(gitBranch, blocksPerCpuFactor))) +
geom_line(aes(y=tideal, group=gitBranch), color="red") +
geom_point(aes(y=tmedian, color=nodesFactor), size=3) +
geom_line(aes(y=tideal, group=gitBranch), color="red") +
geom_point(aes(y=tmedian, color=nodesFactor), size=3) +
facet_grid(gitBranch ~ .) +
scale_shape_manual(values=c(21, 22)) +
scale_y_continuous(trans=log2_trans())
scale_shape_manual(values=c(21, 22)) +
scale_y_continuous(trans=log2_trans())
print(p)
dev.off()