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Commit
d32bba10
authored
Jun 11, 2020
by
FritzFlorian
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Plain Diff
Allow run-time size options for all benchmarks.
parent
b79c00dd
Pipeline
#1508
passed with stages
in 4 minutes 21 seconds
Changes
3
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1
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3 changed files
with
80 additions
and
64 deletions
+80
-64
app/benchmark_matrix/main.cpp
+8
-8
extern/benchmark_base/include/benchmark_base/heat.h
+47
-40
extern/benchmark_base/include/benchmark_base/matrix.h
+25
-16
No files found.
app/benchmark_matrix/main.cpp
View file @
d32bba10
...
...
@@ -8,13 +8,13 @@ using namespace pls;
using
namespace
comparison_benchmarks
::
base
;
template
<
typename
T
,
int
SIZE
>
class
pls_matrix
:
public
matrix
::
matrix
<
T
,
SIZE
>
{
template
<
typename
T
>
class
pls_matrix
:
public
matrix
::
matrix
<
T
>
{
public
:
pls_matrix
()
:
matrix
::
matrix
<
T
,
SIZE
>
(
)
{}
explicit
pls_matrix
(
size_t
size
)
:
matrix
::
matrix
<
T
>
(
size
)
{}
void
multiply
(
const
matrix
::
matrix
<
T
,
SIZE
>
&
a
,
const
matrix
::
matrix
<
T
,
SIZE
>
&
b
)
override
{
pls
::
algorithm
::
for_each_range
(
0
,
SIZE
,
[
&
](
int
i
)
{
void
multiply
(
const
matrix
::
matrix
<
T
>
&
a
,
const
matrix
::
matrix
<
T
>
&
b
)
override
{
pls
::
algorithm
::
for_each_range
(
0
,
this
->
size_
,
[
&
](
int
i
)
{
this
->
multiply_column
(
i
,
a
,
b
);
});
}
...
...
@@ -34,9 +34,9 @@ int main(int argc, char **argv) {
runner
.
enable_memory_stats
();
runner
.
pre_allocate_stats
();
pls_matrix
<
double
,
matrix
::
MATRIX_SIZE
>
a
;
pls_matrix
<
double
,
matrix
::
MATRIX_SIZE
>
b
;
pls_matrix
<
double
,
matrix
::
MATRIX_SIZE
>
result
;
pls_matrix
<
double
>
a
{
matrix
::
MATRIX_SIZE
}
;
pls_matrix
<
double
>
b
{
matrix
::
MATRIX_SIZE
}
;
pls_matrix
<
double
>
result
{
matrix
::
MATRIX_SIZE
}
;
scheduler
scheduler
{(
unsigned
)
num_threads
,
MAX_NUM_TASKS
,
MAX_STACK_SIZE
};
...
...
extern/benchmark_base/include/benchmark_base/heat.h
View file @
d32bba10
...
...
@@ -2,7 +2,7 @@
#ifndef COMPARISON_BENCHMARKS_BASE_HEAT_H
#define COMPARISON_BENCHMARKS_BASE_HEAT_H
#include <
array
>
#include <
vector
>
#include <iostream>
#include <memory>
...
...
@@ -16,37 +16,39 @@ const int DIFFUSION_STEPS = 256;
const
int
NUM_ITERATIONS
=
100
;
const
int
WARMUP_ITERATIONS
=
20
;
template
<
typename
T
,
int
SIZE
>
template
<
typename
T
>
class
heat_diffusion
{
// Center portion is SIZExSIZE, borders are fixed temperature values
using
matrix
=
std
::
array
<
std
::
array
<
T
,
SIZE
+
2
>
,
SIZE
+
2
>
;
// Center portion is SIZExSIZE, borders are fixed temperature values.
// Should be a matrix of (SIZE + 2) x (SIZE + 2)
using
matrix
=
std
::
vector
<
T
>
;
public
:
size_t
size_
;
protected
:
// Sane default values for the simulation (form paper).
// This is not about perfect simulation results but the speedup of the workload.
double
c
=
0
.
1
;
double
d_s
=
1
.
0
/
(
SIZE
+
1
)
;
double
d_t
=
(
d_s
*
d_s
)
/
(
4
*
c
)
;
double
c
_
{
0
.
1
}
;
double
d_s
_
{
1
.
0
/
(
size_
+
1
)}
;
double
d_t
_
{(
d_s_
*
d_s_
)
/
(
4
*
c_
)}
;
public
:
matrix
*
current_data
;
matrix
*
next_data
;
matrix
data_1_
;
matrix
data_2_
;
explicit
heat_diffusion
()
{
current_data
=
new
matrix
;
next_data
=
new
matrix
;
reset_data
();
}
matrix
*
current_data_
;
matrix
*
next_data_
;
explicit
heat_diffusion
(
size_t
size
)
:
size_
{
size
},
data_1_
((
size
+
2
)
*
(
size
+
2
)),
data_2_
((
size
+
2
)
*
(
size
+
2
))
{
current_data_
=
&
data_1_
;
next_data_
=
&
data_2_
;
~
heat_diffusion
()
{
delete
current_data
;
delete
next_data
;
reset_data
();
}
virtual
void
run_simulation
(
int
n
)
{
for
(
int
i
=
0
;
i
<
n
;
i
++
)
{
for
(
int
row
=
1
;
row
<=
SIZE
;
row
++
)
{
for
(
int
column
=
1
;
column
<=
SIZE
;
column
++
)
{
for
(
int
row
=
1
;
row
<=
size_
;
row
++
)
{
for
(
int
column
=
1
;
column
<=
size_
;
column
++
)
{
update_element
(
row
,
column
);
}
}
...
...
@@ -56,40 +58,45 @@ class heat_diffusion {
}
}
protected
:
T
&
current_data_at
(
int
row
,
int
column
)
{
return
(
*
current_data_
)[
row
*
(
size_
+
2
)
+
column
];
}
T
&
next_data_at
(
int
row
,
int
column
)
{
return
(
*
next_data_
)[
row
*
(
size_
+
2
)
+
column
];
}
void
update_element
(
int
row
,
int
column
)
{
(
*
next_data
)[
row
][
column
]
=
(
*
current_data
)[
row
][
column
]
+
((
c
*
d_t
)
/
(
d_s
*
d_s
))
*
((
*
current_data
)[
row
+
1
][
column
]
+
(
*
current_data
)[
row
-
1
][
column
]
-
4
*
(
*
current_data
)[
row
][
column
]
+
(
*
current_data
)[
row
][
column
+
1
]
+
(
*
current_data
)[
row
][
column
-
1
]
);
next_data_at
(
row
,
column
)
=
current_data_at
(
row
,
column
)
+
((
c_
*
d_t_
)
/
(
d_s_
*
d_s_
))
*
current_data_at
(
row
+
1
,
column
)
+
current_data_at
(
row
-
1
,
column
)
-
4
*
current_data_at
(
row
,
column
)
+
current_data_at
(
row
,
column
+
1
)
+
current_data_at
(
row
,
column
-
1
);
}
void
swap_data_arrays
()
{
matrix
*
tmp
=
current_data
;
current_data
=
next_data
;
next_data
=
tmp
;
std
::
swap
(
current_data_
,
next_data_
);
}
void
reset_data
()
{
for
(
int
row
=
0
;
row
<
SIZE
+
2
;
row
++
)
{
for
(
int
column
=
0
;
column
<
SIZE
+
2
;
column
++
)
{
(
*
current_data
)[
row
][
column
]
=
0
.
0
;
(
*
next_data
)[
row
][
column
]
=
0
.
0
;
for
(
int
row
=
0
;
row
<
size_
+
2
;
row
++
)
{
for
(
int
column
=
0
;
column
<
size_
+
2
;
column
++
)
{
current_data_at
(
row
,
column
)
=
0
.
0
;
next_data_at
(
row
,
column
)
=
0
.
0
;
// Edges are a fixed, hot temperature
if
(
row
==
0
||
row
==
SIZE
+
1
)
{
(
*
current_data
)[
row
][
column
]
=
1
.
0
;
(
*
next_data
)[
row
][
column
]
=
1
.
0
;
if
(
row
==
0
||
row
==
size_
+
1
)
{
current_data_at
(
row
,
column
)
=
1
.
0
;
next_data_at
(
row
,
column
)
=
1
.
0
;
}
}
}
}
};
template
<
typename
T
,
int
SIZE
>
std
::
ostream
&
operator
<<
(
std
::
ostream
&
strm
,
const
heat_diffusion
<
T
,
SIZE
>
&
simulation
)
{
for
(
int
i
=
0
;
i
<
SIZE
+
2
;
i
++
)
{
for
(
int
j
=
0
;
j
<
SIZE
+
2
;
j
++
)
{
template
<
typename
T
>
std
::
ostream
&
operator
<<
(
std
::
ostream
&
strm
,
const
heat_diffusion
<
T
>
&
simulation
)
{
for
(
int
i
=
0
;
i
<
simulation
.
size_
+
2
;
i
++
)
{
for
(
int
j
=
0
;
j
<
simulation
.
size_
+
2
;
j
++
)
{
// 'color' our output according to temperature
char
out
;
if
(
simulation
.
current_data
[
i
][
j
]
<
0
.
1
)
{
...
...
extern/benchmark_base/include/benchmark_base/matrix.h
View file @
d32bba10
...
...
@@ -2,6 +2,7 @@
#ifndef COMPARISON_BENCHMARKS_BASE_MATRIX_H
#define COMPARISON_BENCHMARKS_BASE_MATRIX_H
#include <vector>
#include <algorithm>
#include <iostream>
...
...
@@ -14,43 +15,51 @@ const int MATRIX_SIZE = 128;
const
int
NUM_ITERATIONS
=
5000
;
const
int
WARMUP_ITERATIONS
=
1000
;
template
<
typename
T
,
int
SIZE
>
template
<
typename
T
>
class
matrix
{
public
:
T
data
[
SIZE
][
SIZE
];
size_t
size_
;
std
::
vector
<
T
>
data_
;
T
&
data_at
(
size_t
row
,
size_t
column
)
{
return
data_
[
row
*
size_
+
column
];
}
const
T
&
data_at
(
size_t
row
,
size_t
column
)
const
{
return
data_
[
row
*
size_
+
column
];
}
explicit
matrix
()
{
for
(
int
i
=
0
;
i
<
SIZE
;
i
++
)
{
for
(
int
j
=
0
;
j
<
SIZE
;
j
++
)
{
data
[
i
][
j
]
=
i
;
explicit
matrix
(
size_t
size
)
:
size_
{
size
},
data_
(
size
*
size
)
{
for
(
int
i
=
0
;
i
<
size_
;
i
++
)
{
for
(
int
j
=
0
;
j
<
size_
;
j
++
)
{
data
_at
(
i
,
j
)
=
i
;
}
}
}
virtual
void
multiply
(
const
matrix
<
T
,
SIZE
>
&
a
,
const
matrix
<
T
,
SIZE
>
&
b
)
{
for
(
int
i
=
0
;
i
<
SIZE
;
i
++
)
{
virtual
void
multiply
(
const
matrix
<
T
>
&
a
,
const
matrix
<
T
>
&
b
)
{
for
(
int
i
=
0
;
i
<
size_
;
i
++
)
{
multiply_column
(
i
,
a
,
b
);
}
}
protected
:
void
multiply_column
(
int
i
,
const
matrix
<
T
,
SIZE
>
&
a
,
const
matrix
<
T
,
SIZE
>
&
b
)
{
for
(
int
j
=
0
;
j
<
SIZE
;
++
j
)
{
data
[
i
][
j
]
=
0
;
void
multiply_column
(
int
i
,
const
matrix
<
T
>
&
a
,
const
matrix
<
T
>
&
b
)
{
for
(
int
j
=
0
;
j
<
size_
;
++
j
)
{
data
_at
(
i
,
j
)
=
0
;
}
for
(
int
k
=
0
;
k
<
SIZE
;
++
k
)
{
for
(
int
j
=
0
;
j
<
SIZE
;
++
j
)
{
data
[
i
][
j
]
+=
a
.
data
[
i
][
k
]
*
b
.
data
[
k
][
j
]
;
for
(
int
k
=
0
;
k
<
size_
;
++
k
)
{
for
(
int
j
=
0
;
j
<
size_
;
++
j
)
{
data
_at
(
i
,
j
)
+=
a
.
data_at
(
i
,
k
)
*
b
.
data_at
(
i
,
k
)
;
}
}
}
};
template
<
typename
T
,
int
SIZE
>
std
::
ostream
&
operator
<<
(
std
::
ostream
&
strm
,
const
matrix
<
T
,
SIZE
>
&
matrix
)
{
std
::
ostream
&
operator
<<
(
std
::
ostream
&
strm
,
const
matrix
<
T
>
&
matrix
)
{
for
(
int
i
=
0
;
i
<
SIZE
;
i
++
)
{
for
(
int
j
=
0
;
j
<
SIZE
;
j
++
)
{
strm
<<
matrix
.
data
[
i
][
j
]
<<
"
\t
"
;
strm
<<
matrix
.
data
_at
(
i
,
j
)
<<
"
\t
"
;
}
strm
<<
std
::
endl
;
}
...
...
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