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solverstack
ScalFMM
Commits
5bdaeeec
Commit
5bdaeeec
authored
Jul 07, 2016
by
Martin Khannouz
Committed by
Berenger Bramas
Mar 14, 2017
Browse files
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Plain Diff
Fix bugs in R script when there was no data available.
parent
9587ed5f
Changes
5
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Inline
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Showing
5 changed files
with
114 additions
and
64 deletions
+114
-64
Utils/benchmark/gen_comm.R
Utils/benchmark/gen_comm.R
+28
-25
Utils/benchmark/gen_group_size_plots.R
Utils/benchmark/gen_group_size_plots.R
+40
-3
Utils/benchmark/gen_normalized_time_plots.R
Utils/benchmark/gen_normalized_time_plots.R
+21
-18
Utils/benchmark/gen_parallel_efficiency_plots.R
Utils/benchmark/gen_parallel_efficiency_plots.R
+21
-18
Utils/benchmark/gen_speedup_plots.R
Utils/benchmark/gen_speedup_plots.R
+4
-0
No files found.
Utils/benchmark/gen_comm.R
View file @
5bdaeeec
...
...
@@ -6,36 +6,39 @@ gen_comm_plot <- function(db, d_breaks, model_wanted)
db
<-
subset
(
db
,
model
==
model_wanted
)
db
<-
db
[
db
$
communication_vol
>
0
,]
g
<-
ggplot
(
data
=
db
,
aes_string
(
x
=
"nnode"
,
y
=
"communication_vol"
,
color
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
~
bsize
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
bsize
=
as_labeller
(
group_size_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set X/Y labels.
g
<-
g
+
xlab
(
"Number of nodes"
)
g
<-
g
+
ylab
(
"Volume of Communication (MB)"
)
g
<-
g
+
scale_x_continuous
(
breaks
=
c
(
1
,
2
,
3
,
4
,
5
,
6
,
9
,
12
,
16
,
20
,
24
))
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-comm.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
if
(
nrow
(
db
)
>
0
)
{
g
<-
ggplot
(
data
=
db
,
aes_string
(
x
=
"nnode"
,
y
=
"communication_vol"
,
color
=
"algo"
,
group
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
~
bsize
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
bsize
=
as_labeller
(
group_size_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set X/Y labels.
g
<-
g
+
xlab
(
"Number of nodes"
)
g
<-
g
+
ylab
(
"Volume of Communication (MB)"
)
g
<-
g
+
scale_x_continuous
(
breaks
=
c
(
1
,
2
,
3
,
4
,
5
,
6
,
9
,
12
,
16
,
20
,
24
))
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-comm.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
}
}
gen_comm
<-
function
(
dbfile
)
{
data
<-
get_data_subset
(
dbfile
,
0L
,
0L
,
"False"
,
get_bsize_reference
())
data
<-
subset
(
data
,
algo
!=
get_one_node_reference_algorithm
()
&
algo
!=
"simple-mpi"
)
data
<-
subset
(
data
,
algo
!=
get_one_node_reference_algorithm
()
&
algo
!=
"simple-mpi"
&
bsize
==
get_bsize_reference
()
)
all_model
<-
unique
(
data
$
model
)
for
(
i
in
1
:
length
(
all_model
))
{
...
...
Utils/benchmark/gen_group_size_plots.R
View file @
5bdaeeec
...
...
@@ -2,10 +2,44 @@ library(plyr)
library
(
ggplot2
)
library
(
scales
)
gen_group_size_plot
<-
function
(
d
,
model_wanted
)
gen_group_size_plot
_comm
<-
function
(
d
,
model_wanted
)
{
d
<-
subset
(
d
,
model
==
model_wanted
)
d
$
global_time
<-
d
$
global_time
/
1000
d
<-
d
[
d
$
communication_vol
>=
0
,]
if
(
nrow
(
d
)
>
0
)
{
g
<-
ggplot
(
data
=
d
,
aes_string
(
x
=
"bsize"
,
y
=
"communication_vol"
,
color
=
"algo"
,
group
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
~
nnode
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
nnode
=
as_labeller
(
nnode_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set X/Y labels.
g
<-
g
+
xlab
(
"bsize"
)
g
<-
g
+
ylab
(
"Communication volume (MB)"
)
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-bsize-volume.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
}
}
gen_group_size_plot_speed
<-
function
(
d
,
model_wanted
)
{
d
<-
subset
(
d
,
model
==
model_wanted
)
d
$
global_time
<-
d
$
global_time
/
1000
d
<-
d
[
d
$
global_time
>
0
,]
if
(
nrow
(
d
)
>
0
)
{
g
<-
ggplot
(
data
=
d
,
aes_string
(
x
=
"bsize"
,
y
=
"global_time"
,
color
=
"algo"
,
group
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
~
nnode
,
scales
=
"free"
,
...
...
@@ -24,10 +58,12 @@ gen_group_size_plot <- function(d, model_wanted)
# Set X/Y labels.
g
<-
g
+
xlab
(
"bsize"
)
g
<-
g
+
ylab
(
"Time (s)"
)
#g <- g + scale_x_continuous(breaks=c(8, 16, 32, 64, 128, 512, 1024, 2048, 4096))
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-bsize.pdf"
,
sep
=
""
)
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-bsize
-speed
.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
}
}
gen_group_size
<-
function
(
dbfile
)
...
...
@@ -41,6 +77,7 @@ gen_group_size <- function(dbfile)
all_model
<-
unique
(
data
$
model
)
for
(
i
in
1
:
length
(
all_model
))
{
gen_group_size_plot
(
data
,
all_model
[
i
])
gen_group_size_plot_speed
(
data
,
all_model
[
i
])
gen_group_size_plot_comm
(
data
,
all_model
[
i
])
}
}
Utils/benchmark/gen_normalized_time_plots.R
View file @
5bdaeeec
...
...
@@ -43,28 +43,31 @@ gen_normalized_time_plot <- function(db, d_breaks, model_wanted)
db
<-
subset
(
db
,
algo
!=
get_one_node_reference_algorithm
())
db
<-
db
[
!
(
is.na
(
db
$
efficiency
)),]
g
<-
ggplot
(
data
=
db
,
aes_string
(
x
=
"nnode"
,
y
=
"efficiency"
,
color
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
if
(
nrow
(
db
)
>
0
)
{
g
<-
ggplot
(
data
=
db
,
aes_string
(
x
=
"nnode"
,
y
=
"efficiency"
,
color
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set X/Y labels.
g
<-
g
+
xlab
(
"Number of nodes"
)
g
<-
g
+
ylab
(
"Normalized time"
)
# Set X/Y labels.
g
<-
g
+
xlab
(
"Number of nodes"
)
g
<-
g
+
ylab
(
"Normalized time"
)
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-normalized-time.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-normalized-time.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
}
}
gen_normalized_time
<-
function
(
dbfile
)
...
...
Utils/benchmark/gen_parallel_efficiency_plots.R
View file @
5bdaeeec
...
...
@@ -39,27 +39,30 @@ gen_pareff_plot <- function(db, d_breaks, model_wanted)
db
<-
calc_parallel_efficiency
(
db
,
d_breaks
)
db
<-
db
[
!
(
is.na
(
db
$
efficiency
)),]
g
<-
ggplot
(
data
=
db
,
aes_string
(
x
=
"nnode"
,
y
=
"efficiency"
,
color
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
if
(
nrow
(
db
)
>
0
)
{
g
<-
ggplot
(
data
=
db
,
aes_string
(
x
=
"nnode"
,
y
=
"efficiency"
,
color
=
"algo"
))
g
<-
g
+
geom_line
()
g
<-
g
+
facet_wrap
(
npart
~
height
,
scales
=
"free"
,
labeller
=
labeller
(
npart
=
as_labeller
(
npart_labeller
),
height
=
as_labeller
(
height_labeller
),
.default
=
label_both
,
.multi_line
=
FALSE
))
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set our own colors, linetypes and point shapes.
g
<-
g
+
scale_color_manual
(
name
=
"Algorithm"
,
breaks
=
get_breaks_runtime
(),
labels
=
get_labels_runtime
(),
values
=
get_colors_runtime
())
# Set X/Y labels.
g
<-
g
+
xlab
(
"Number of nodes"
)
g
<-
g
+
ylab
(
"Parallel efficiency"
)
# Set X/Y labels.
g
<-
g
+
xlab
(
"Number of nodes"
)
g
<-
g
+
ylab
(
"Parallel efficiency"
)
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-parallel-efficiency.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
# Save generated plot.
output
<-
paste
(
get_output_directory
(),
"/"
,
model_wanted
,
"-parallel-efficiency.pdf"
,
sep
=
""
)
ggsave
(
output
,
g
,
width
=
29.7
,
height
=
21
,
units
=
c
(
"cm"
),
device
=
cairo_pdf
)
}
}
gen_pareff
<-
function
(
dbfile
)
...
...
Utils/benchmark/gen_speedup_plots.R
View file @
5bdaeeec
...
...
@@ -16,6 +16,10 @@ calc_speedup <- function(data, ref_algo)
}
else
{
if
(
nrow
(
tmp_ref
)
>
1
)
{
print
(
nrow
(
tmp_ref
))
}
data
$
speedup
[
i
]
<-
tmp_ref
$
global_time
/
data
$
global_time
[
i
]
}
}
...
...
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