nbody: update and simplify figures

This commit is contained in:
Rodrigo Arias 2021-04-20 17:16:17 +02:00
parent e1433fedb8
commit 5b4bb30e55
5 changed files with 105 additions and 247 deletions

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@ -31,8 +31,8 @@ in
{ {
nbody = with exp.nbody; { nbody = with exp.nbody; {
granularity = stdPlot ./nbody/granularity.R [ granularity ]; granularity = stdPlot ./nbody/granularity.R [ granularity ];
nodesorsockets = stdPlot ./nbody/nodes-or-sockets.R [ nodesorsockets ]; ss = stdPlot ./nbody/ss.R [ ss ];
scaling = stdPlot ./nbody/scaling.R [ scaling ]; numa = stdPlot ./nbody/numa.R [ numa ];
}; };
hpcg = with exp.hpcg; { hpcg = with exp.hpcg; {

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@ -10,10 +10,11 @@ if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>% df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
jsonlite::flatten() %>% jsonlite::flatten() %>%
select(config.blocksize, config.gitBranch, unit, time) %>% select(config.blocksize, config.gitBranch, config.particles, unit, time) %>%
rename(blocksize=config.blocksize, branch=config.gitBranch) %>% rename(blocksize=config.blocksize, particles=config.particles, branch=config.gitBranch) %>%
mutate(blocksize = as.factor(blocksize)) %>% mutate(blocksize = as.factor(blocksize)) %>%
mutate(particles = as.factor(particles)) %>%
mutate(branch = as.factor(branch)) %>% mutate(branch = as.factor(branch)) %>%
mutate(unit = as.factor(unit)) %>% mutate(unit = as.factor(unit)) %>%
@ -27,22 +28,7 @@ df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
dpi = 300 dpi = 300
h = 5 h = 5
w = 8 w = 5
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=blocksize, y=median.time, color=branch)) +
geom_point() +
geom_line(aes(group=branch)) +
theme_bw() +
labs(x="Blocksize", y="Median time (s)", title="NBody Granularity: Median Time",
subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
theme(legend.text = element_text(size=7))
ggsave("median.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("median.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# --------------------------------------------------------------------- # ---------------------------------------------------------------------
@ -53,7 +39,7 @@ p = ggplot(df, aes(x=blocksize, y=normalized.time, color=branch)) +
theme_bw() + theme_bw() +
labs(x="Blocksize", y="Normalized Time", title="NBody Granularity: Normalized Time", labs(x="Blocksize", y="Normalized Time", title="NBody Granularity: Normalized Time",
subtitle=input_file) + subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) + theme(plot.subtitle=element_text(size=8)) +
theme(legend.position="bottom") + theme(legend.position="bottom") +
theme(legend.text = element_text(size=7)) theme(legend.text = element_text(size=7))
@ -62,31 +48,14 @@ ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# --------------------------------------------------------------------- # ---------------------------------------------------------------------
p = ggplot(df, aes(x=blocksize, y=time, color=branch)) + p = ggplot(df, aes(x=blocksize, y=time)) +
geom_point(shape=21, size=3) + geom_boxplot() +
theme_bw() + theme_bw() +
labs(x="Blocksize", y="Time (s)", title="NBody Granularity: Time", labs(x="Blocksize", y="Time (s)", title="NBody Granularity: Time",
subtitle=input_file) + subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) + theme(plot.subtitle=element_text(size=8)) +
theme(legend.position="bottom") + theme(legend.position="bottom") +
theme(legend.text = element_text(size=7)) theme(legend.text = element_text(size=7))
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi) ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi) ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=blocksize, y=branch, fill=median.time)) +
geom_raster() +
scale_fill_viridis(option="plasma") +
coord_fixed() +
theme_bw() +
labs(x="Blocksize", y="Branch", title="NBody Granularity: Time",
subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
theme(legend.text = element_text(size=7))
ggsave("time.heatmap.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.heatmap.pdf", plot=p, width=w, height=h, dpi=dpi)

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@ -1,168 +0,0 @@
library(ggplot2)
library(dplyr, warn.conflicts = FALSE)
library(scales)
library(jsonlite)
library(viridis, warn.conflicts = FALSE)
# Load the arguments (argv)
args = commandArgs(trailingOnly=TRUE)
if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
dfNuma = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
jsonlite::flatten() %>%
select(config.blocksize, config.gitBranch, config.socketAtt, config.useNumact, unit, time) %>%
rename(blocksize=config.blocksize, branch=config.gitBranch, attachment=config.socketAtt, usenuma=config.useNumact) %>%
mutate(blocksize = as.factor(blocksize)) %>%
mutate(branch = as.factor(branch)) %>%
mutate(attachment = as.factor(attachment)) %>%
mutate(usenuma = as.factor(usenuma)) %>%
mutate(unit = as.factor(unit)) %>%
group_by(unit) %>%
mutate(median.time = median(time)) %>%
mutate(normalized.time = time / median.time - 1) %>%
mutate(log.median.time = log(median.time)) %>%
filter(usenuma == TRUE) %>%
ungroup()
dfNonuma = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
jsonlite::flatten() %>%
select(config.blocksize, config.gitBranch, config.socketAtt, config.useNumact, unit, time) %>%
rename(blocksize=config.blocksize, branch=config.gitBranch, attachment=config.socketAtt, usenuma=config.useNumact) %>%
mutate(blocksize = as.factor(blocksize)) %>%
mutate(branch = as.factor(branch)) %>%
mutate(attachment = as.factor(attachment)) %>%
mutate(usenuma = as.factor(usenuma)) %>%
mutate(unit = as.factor(unit)) %>%
group_by(unit) %>%
mutate(median.time = median(time)) %>%
mutate(normalized.time = time / median.time - 1) %>%
mutate(log.median.time = log(median.time)) %>%
filter(usenuma == FALSE) %>%
ungroup()
dpi = 300
h = 5
w = 8
# ---------------------------------------------------------------------
p = ggplot(dfNuma, aes(x=blocksize, y=median.time, color=attachment)) +
geom_point() +
geom_line(aes(group=attachment)) +
theme_bw() +
labs(x="Blocksize", y="Median time (s)", title="NBody Granularity (tampi+send+oss+task | numactl ON | 4 Nodes): Median Time",
subtitle=input_file, color="Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("median-numactl.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("median-numactl.time.pdf", plot=p, width=w, height=h, dpi=dpi)
p = ggplot(dfNonuma, aes(x=blocksize, y=median.time, color=attachment)) +
geom_point() +
geom_line(aes(group=attachment)) +
theme_bw() +
labs(x="Blocksize", y="Median time (s)", title="NBody Granularity (tampi+send+oss+task | numactl OFF | 4 Nodes): Median Time",
subtitle=input_file, color="Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("median.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("median.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(dfNuma, aes(x=blocksize, y=normalized.time, color=attachment)) +
geom_boxplot() +
geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
facet_wrap(~ attachment) +
theme_bw() +
labs(x="Blocksize", y="Normalized Time", title="NBody Granularity (tampi+send+oss+task | numactl ON | 4 Nodes): Normalized Time",
subtitle=input_file, color="Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("normalized-numactl.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("normalized-numactl.time.pdf", plot=p, width=w, height=h, dpi=dpi)
p = ggplot(dfNonuma, aes(x=blocksize, y=normalized.time, color=attachment)) +
geom_boxplot() +
geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
facet_wrap(~ attachment) +
theme_bw() +
labs(x="Blocksize", y="Normalized Time", title="NBody Granularity (tampi+send+oss+task | 4 Nodes): Normalized Time",
subtitle=input_file, color="Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(dfNuma, aes(x=blocksize, y=time, color=attachment)) +
geom_point(shape=21, size=3) +
theme_bw() +
labs(x="Blocksize", y="Time (s)", title="NBody Granularity (tampi+send+oss+task | numactl ON | 4 Nodes): Time",
subtitle=input_file, color="Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("time-numactl.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time-numactl.pdf", plot=p, width=w, height=h, dpi=dpi)
p = ggplot(dfNonuma, aes(x=blocksize, y=time, color=attachment)) +
geom_point(shape=21, size=3) +
theme_bw() +
labs(x="Blocksize", y="Time (s)", title="NBody Granularity (tampi+send+oss+task | 4 Nodes): Time",
subtitle=input_file, color="Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(dfNuma, aes(x=blocksize, y=attachment, fill=median.time)) +
geom_raster() +
scale_fill_viridis(option="plasma") +
coord_fixed() +
theme_bw() +
labs(x="Blocksize", y="Attachment", title="NBody Granularity (tampi+send+oss+task | numactl ON | 4 Nodes): Time",
subtitle=input_file, color = "Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("time-numactl.heatmap.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time-numactl.heatmap.pdf", plot=p, width=w, height=h, dpi=dpi)
p = ggplot(dfNonuma, aes(x=blocksize, y=attachment, fill=median.time)) +
geom_raster() +
scale_fill_viridis(option="plasma") +
coord_fixed() +
theme_bw() +
labs(x="Blocksize", y="Attachment", title="NBody Granularity (tampi+send+oss+task | 4 Nodes): Time",
subtitle=input_file, color = "Rank Attachment") +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
scale_color_manual(labels = c("RanksPerNode", "RanksPerSocket"), values=c("blue", "red"))
ggsave("time.heatmap.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.heatmap.pdf", plot=p, width=w, height=h, dpi=dpi)

85
garlic/fig/nbody/numa.R Normal file
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@ -0,0 +1,85 @@
library(ggplot2)
library(dplyr, warn.conflicts = FALSE)
library(scales)
library(jsonlite)
library(viridis, warn.conflicts = FALSE)
library(stringr)
# Load the arguments (argv)
args = commandArgs(trailingOnly=TRUE)
if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
jsonlite::flatten() %>%
select(unit,
config.blocksize,
config.gitBranch,
config.attachToSocket,
config.interleaveMem,
config.nodes,
unit,
time) %>%
rename(blocksize=config.blocksize,
gitBranch=config.gitBranch,
nodes=config.nodes,
attachToSocket=config.attachToSocket,
interleaveMem=config.interleaveMem) %>%
# Remove the "garlic/" prefix from the gitBranch
mutate(branch = str_replace(gitBranch, "garlic/", "")) %>%
mutate(blocksize = as.factor(blocksize)) %>%
mutate(branch = as.factor(branch)) %>%
mutate(attachToSocket = as.factor(attachToSocket)) %>%
mutate(interleaveMem = as.factor(interleaveMem)) %>%
mutate(unit = as.factor(unit)) %>%
group_by(unit) %>%
mutate(median.time = median(time)) %>%
mutate(normalized.time = time / median.time - 1) %>%
mutate(log.median.time = log(median.time)) %>%
ungroup()
branch = unique(df$branch)
nodes = unique(df$nodes)
dpi = 300
h = 5
w = 8
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=blocksize, y=normalized.time, color=interleaveMem)) +
geom_boxplot() +
geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
theme_bw() +
facet_wrap(~ attachToSocket, labeller=label_both) +
labs(x="Blocksize", y="Normalized time",
title=sprintf("NBody NUMA (%s | %d Nodes): Normalized time",
branch, nodes),
subtitle=input_file) +
theme(plot.subtitle=element_text(size=8)) +
theme(legend.position="bottom")
ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=blocksize, y=time, color=interleaveMem)) +
geom_boxplot() +
geom_line(aes(y=median.time)) +
theme_bw() +
facet_wrap(~ attachToSocket, labeller=label_both) +
labs(x="Blocksize", y="Time (s)",
title=sprintf("NBody NUMA (%s | %d Nodes): Time",
branch, nodes),
subtitle=input_file) +
theme(plot.subtitle=element_text(size=8)) +
theme(legend.position="bottom")
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)

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@ -10,8 +10,10 @@ if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>% df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
jsonlite::flatten() %>% jsonlite::flatten() %>%
select(config.blocksize, config.gitBranch, config.numNodes, unit, time) %>% select(config.blocksize, config.gitBranch, config.nodes, unit, time) %>%
rename(nodes = config.numNodes, blocksize=config.blocksize, branch=config.gitBranch) %>% rename(nodes = config.nodes, blocksize=config.blocksize, branch=config.gitBranch) %>%
mutate(time.nodes = time * nodes) %>%
mutate(blocksize = as.factor(blocksize)) %>% mutate(blocksize = as.factor(blocksize)) %>%
mutate(nodes = as.factor(nodes)) %>% mutate(nodes = as.factor(nodes)) %>%
@ -21,6 +23,7 @@ df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
group_by(unit) %>% group_by(unit) %>%
mutate(median.time = median(time)) %>% mutate(median.time = median(time)) %>%
mutate(median.time.nodes = median(time.nodes)) %>%
mutate(normalized.time = time / median.time - 1) %>% mutate(normalized.time = time / median.time - 1) %>%
mutate(log.median.time = log(median.time)) %>% mutate(log.median.time = log(median.time)) %>%
@ -32,21 +35,6 @@ w = 8
# --------------------------------------------------------------------- # ---------------------------------------------------------------------
p = ggplot(df, aes(x=nodes, y=median.time, color=branch)) +
geom_point() +
geom_line(aes(group=branch)) +
theme_bw() +
labs(x="Nodes", y="Median time (s)", title="NBody Scaling: Median Time",
subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
theme(legend.text = element_text(size=7))
ggsave("median.time.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("median.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=nodes, y=normalized.time, color=branch)) + p = ggplot(df, aes(x=nodes, y=normalized.time, color=branch)) +
geom_boxplot() + geom_boxplot() +
geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") + geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
@ -63,31 +51,15 @@ ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
# --------------------------------------------------------------------- # ---------------------------------------------------------------------
p = ggplot(df, aes(x=nodes, y=time, color=branch)) + p = ggplot(df, aes(x=nodes, y=time.nodes, color=branch)) +
geom_point(shape=21, size=3) + geom_point(shape=21, size=3) +
geom_line(aes(y=median.time.nodes, group=branch)) +
theme_bw() + theme_bw() +
labs(x="Nodes", y="Time (s)", title="NBody Scaling: Time", labs(x="Nodes", y="Time * nodes (s)", title="NBody Scaling: Time * nodes",
subtitle=input_file) + subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) + theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") + theme(legend.position="bottom") +
theme(legend.text = element_text(size=7)) theme(legend.text = element_text(size=7))
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi) ggsave("time.nodes.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi) ggsave("time.nodes.pdf", plot=p, width=w, height=h, dpi=dpi)
# ---------------------------------------------------------------------
p = ggplot(df, aes(x=nodes, y=branch, fill=median.time)) +
geom_raster() +
scale_fill_viridis(option="plasma") +
coord_fixed() +
theme_bw() +
labs(x="Nodes", y="Branch", title="NBody Scaling: Time",
subtitle=input_file) +
theme(plot.subtitle=element_text(size=5)) +
theme(legend.position="bottom") +
theme(legend.text = element_text(size=7))
ggsave("time.heatmap.png", plot=p, width=w, height=h, dpi=dpi)
ggsave("time.heatmap.pdf", plot=p, width=w, height=h, dpi=dpi)