82 lines
2.3 KiB
R
82 lines
2.3 KiB
R
library(ggplot2)
|
|
library(dplyr, warn.conflicts = FALSE)
|
|
library(scales)
|
|
library(jsonlite)
|
|
library(viridis, warn.conflicts = FALSE)
|
|
|
|
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(config.nblocks,
|
|
config.hw.cpusPerSocket,
|
|
config.nodes,
|
|
config.nprocs.x,
|
|
config.nprocs.y,
|
|
config.nprocs.z,
|
|
config.blocksPerCpu,
|
|
config.sizePerCpu.z,
|
|
unit,
|
|
time
|
|
) %>%
|
|
|
|
rename(nblocks=config.nblocks,
|
|
cpusPerSocket=config.hw.cpusPerSocket,
|
|
nodes=config.nodes,
|
|
blocksPerCpu=config.blocksPerCpu,
|
|
sizePerCpu.z=config.sizePerCpu.z,
|
|
npx=config.nprocs.x,
|
|
npy=config.nprocs.y,
|
|
npz=config.nprocs.z
|
|
) %>%
|
|
|
|
mutate(time.sizeZ = time / sizePerCpu.z) %>%
|
|
mutate(time.nodes = time * nodes) %>%
|
|
mutate(axisColor=as.factor(ifelse(npx != 1, "X", ifelse(npy != 1, "Y", "Z")))) %>%
|
|
|
|
mutate(nblocks = as.factor(nblocks)) %>%
|
|
mutate(blocksPerCpu = as.factor(blocksPerCpu)) %>%
|
|
mutate(nodes = as.factor(nodes)) %>%
|
|
mutate(unit = as.factor(unit)) %>%
|
|
mutate(sizePerCpu.z = as.factor(sizePerCpu.z)) %>%
|
|
|
|
group_by(unit) %>%
|
|
|
|
mutate(median.time = median(time)) %>%
|
|
mutate(normalized.time = time / median.time - 1) %>%
|
|
mutate(log.median.time = log(median.time)) %>%
|
|
|
|
ungroup()
|
|
|
|
dpi=300
|
|
h=7
|
|
w=7
|
|
|
|
p = ggplot(df, aes(x=nodes, y=time.nodes)) +
|
|
geom_boxplot() +
|
|
theme_bw() +
|
|
labs(x="Nodes", y="Time * nodes (s)",
|
|
title="HPCG strong scalability in Z",
|
|
subtitle=input_file) +
|
|
theme(plot.subtitle=element_text(size=8),
|
|
legend.position="bottom")
|
|
|
|
ggsave("time.nodes.png", 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=time.sizeZ, fill=sizePerCpu.z)) +
|
|
geom_boxplot() +
|
|
theme_bw() +
|
|
labs(x="Nodes", y="Time / npcz (s)", title="HPCG strong scalability in Z",
|
|
color="Size per CPU in Z",
|
|
subtitle=input_file) +
|
|
theme(plot.subtitle=element_text(size=8),
|
|
legend.position="bottom")
|
|
|
|
ggsave("time.size.png", plot=p, width=w, height=h, dpi=dpi)
|
|
ggsave("time.size.pdf", plot=p, width=w, height=h, dpi=dpi)
|