68 lines
1.6 KiB
R
68 lines
1.6 KiB
R
|
library(ggplot2)
|
||
|
|
library(dplyr)
|
||
|
|
library(scales)
|
||
|
|
library(jsonlite)
|
||
|
|
|
||
|
|
args=commandArgs(trailingOnly=TRUE)
|
||
|
|
|
||
|
|
# Read the timetable from args[1]
|
||
|
|
input_file1 = "input1.json"
|
||
|
|
if (length(args)>0) { input_file1 = args[1] }
|
||
|
|
|
||
|
|
input_file2 = "input2.json"
|
||
|
|
if (length(args)>1) { input_file2 = args[2] }
|
||
|
|
|
||
|
|
# Load the dataset in NDJSON format
|
||
|
|
dataset1 = jsonlite::stream_in(file(input_file1)) %>%
|
||
|
|
jsonlite::flatten()
|
||
|
|
dataset2 = jsonlite::stream_in(file(input_file2)) %>%
|
||
|
|
jsonlite::flatten()
|
||
|
|
|
||
|
|
# We only need the nblocks and time
|
||
|
|
df1 = select(dataset1, config.nbx, time) %>%
|
||
|
|
rename(nb1=config.nbx)
|
||
|
|
|
||
|
|
df2 = select(dataset2, config.nby, time) %>%
|
||
|
|
rename(nb2=config.nby)
|
||
|
|
|
||
|
|
df1$nb1 = as.factor(df1$nb1)
|
||
|
|
df2$nb2 = as.factor(df2$nb2)
|
||
|
|
|
||
|
|
# Normalize the time by the median
|
||
|
|
D1=group_by(df1, nb1)
|
||
|
|
D2=group_by(df2, nb2)
|
||
|
|
|
||
|
|
print(D1)
|
||
|
|
print(D2)
|
||
|
|
|
||
|
|
ppi=300
|
||
|
|
h=5
|
||
|
|
w=7
|
||
|
|
|
||
|
|
png("scatter_granularity_and_blocking.png", width=w*ppi, height=h*ppi, res=ppi)
|
||
|
|
#
|
||
|
|
## Create the plot with the normalized time vs nblocks
|
||
|
|
p = ggplot() +
|
||
|
|
geom_point(data=D1, aes(x=nb1, y=time, colour = 'nbx-nby-nbz'), shape=1, size=4) +
|
||
|
|
geom_point(data=D2, aes(x=nb2, y=time, colour = 'nby-nbz'), shape=1, size=4) +
|
||
|
|
|
||
|
|
labs(x="nb", y="Time (s)",
|
||
|
|
title=sprintf("Saiph-Heat3D granularity & blocking"),
|
||
|
|
subtitle=input_file1) +
|
||
|
|
theme_bw() +
|
||
|
|
theme(plot.subtitle=element_text(size=8)) +
|
||
|
|
#theme(legend.position = c(0.5, 0.88)) +
|
||
|
|
theme(legend.position = "right") +
|
||
|
|
|
||
|
|
geom_point(shape=21, size=3) +
|
||
|
|
#scale_x_continuous(trans=log2_trans()) +
|
||
|
|
scale_y_continuous(trans=log2_trans()) +
|
||
|
|
scale_colour_discrete("Blocked directions")
|
||
|
|
|
||
|
|
|
||
|
|
# Render the plot
|
||
|
|
print(p)
|
||
|
|
|
||
|
|
# Save the png image
|
||
|
|
dev.off()
|