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Commit
8f47876d
authored
Jun 08, 2020
by
FritzFlorian
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Add standard divide and conquer matrix multiplication test for comparison.
parent
92ee564c
Pipeline
#1502
passed with stages
in 4 minutes 13 seconds
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6 changed files
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and
4 deletions
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-4
app/benchmark_matrix_div_conquer/main.cpp
+0
-0
extern/benchmark_base/CMakeLists.txt
+2
-1
extern/benchmark_base/include/benchmark_base/matrix_div_conquer.h
+96
-0
lib/pls/include/pls/internal/scheduling/scheduler_impl.h
+0
-1
lib/pls/include/pls/internal/scheduling/strain_local_resource.h
+1
-2
lib/pls/include/pls/pls.h
+4
-0
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app/benchmark_matrix_div_conquer/main.cpp
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8f47876d
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extern/benchmark_base/CMakeLists.txt
View file @
8f47876d
...
...
@@ -8,7 +8,8 @@ add_library(benchmark_base STATIC
include/benchmark_base/matrix.h
include/benchmark_base/unbalanced.h src/unbalanced.cpp
include/benchmark_base/range.h
include/benchmark_base/fib.h
)
include/benchmark_base/fib.h
include/benchmark_base/matrix_div_conquer.h
)
target_include_directories
(
benchmark_base
PUBLIC
...
...
extern/benchmark_base/include/benchmark_base/matrix_div_conquer.h
0 → 100644
View file @
8f47876d
#ifndef COMPARISON_BENCHMARKS_BASE_MATRIX_DIV_CONQUER_H
#define COMPARISON_BENCHMARKS_BASE_MATRIX_DIV_CONQUER_H
#include <array>
namespace
comparison_benchmarks
{
namespace
base
{
namespace
matrix_div_conquer
{
const
int
MATRIX_SIZE
=
128
;
const
int
CUTOFF_SIZE
=
8
;
const
int
NUM_ITERATIONS
=
100
;
const
int
WARMUP_ITERATIONS
=
10
;
// Helpers to directly index into blocked matrices
const
size_t
MAX_SIZE
=
128
;
std
::
array
<
std
::
array
<
size_t
,
MAX_SIZE
>
,
MAX_SIZE
>
BLOCK_LOOKUP
;
// ROW, COLUMN
void
fill_block_lookup
(
size_t
size
=
MAX_SIZE
)
{
if
(
size
<=
1
)
{
BLOCK_LOOKUP
[
0
][
0
]
=
0
;
return
;
}
fill_block_lookup
(
size
/
2
);
size_t
elements_per_quarter
=
(
size
/
2
)
*
(
size
/
2
);
for
(
size_t
row
=
0
;
row
<
size
/
2
;
row
++
)
{
for
(
size_t
column
=
0
;
column
<
size
/
2
;
column
++
)
{
BLOCK_LOOKUP
[
row
][
size
/
2
+
column
]
=
BLOCK_LOOKUP
[
row
][
column
]
+
elements_per_quarter
;
BLOCK_LOOKUP
[
size
/
2
+
row
][
column
]
=
BLOCK_LOOKUP
[
row
][
column
]
+
2
*
elements_per_quarter
;
BLOCK_LOOKUP
[
size
/
2
+
row
][
size
/
2
+
column
]
=
BLOCK_LOOKUP
[
row
][
column
]
+
3
*
elements_per_quarter
;
}
}
}
class
blocked_matrix_view
{
public
:
blocked_matrix_view
(
double
*
data
,
size_t
size
)
:
data_
{
data
},
size_
{
size
}
{}
void
fill_default_data
()
{
for
(
size_t
row
=
0
;
row
<
size_
;
row
++
)
{
for
(
size_t
column
=
0
;
column
<
size_
;
column
++
)
{
at
(
row
,
column
)
=
row
;
}
}
}
blocked_matrix_view
quadrant_1_1
()
{
size_t
elements_per_quarter
=
(
size_
/
2
)
*
(
size_
/
2
);
return
blocked_matrix_view
(
data_
+
0
*
elements_per_quarter
,
size_
/
2
);
}
blocked_matrix_view
quadrant_1_2
()
{
size_t
elements_per_quarter
=
(
size_
/
2
)
*
(
size_
/
2
);
return
blocked_matrix_view
(
data_
+
1
*
elements_per_quarter
,
size_
/
2
);
}
blocked_matrix_view
quadrant_2_1
()
{
size_t
elements_per_quarter
=
(
size_
/
2
)
*
(
size_
/
2
);
return
blocked_matrix_view
(
data_
+
2
*
elements_per_quarter
,
size_
/
2
);
}
blocked_matrix_view
quadrant_2_2
()
{
size_t
elements_per_quarter
=
(
size_
/
2
)
*
(
size_
/
2
);
return
blocked_matrix_view
(
data_
+
3
*
elements_per_quarter
,
size_
/
2
);
}
double
&
at
(
size_t
row
,
size_t
column
)
{
return
data_
[
BLOCK_LOOKUP
[
row
][
column
]];
}
double
*
get_data
()
{
return
data_
;
}
private
:
double
*
data_
;
size_t
size_
;
};
void
multiply_naive
(
size_t
size
,
blocked_matrix_view
&
result
,
blocked_matrix_view
&
a
,
blocked_matrix_view
&
b
)
{
for
(
size_t
i
=
0
;
i
<
size
;
i
++
)
{
for
(
size_t
j
=
0
;
j
<
size
;
j
++
)
{
result
.
at
(
i
,
j
)
=
0
;
}
for
(
size_t
j
=
0
;
j
<
size
;
j
++
)
{
for
(
size_t
k
=
0
;
k
<
size
;
k
++
)
{
result
.
at
(
i
,
j
)
+=
a
.
at
(
i
,
k
)
*
b
.
at
(
k
,
j
);
}
}
}
}
}
}
}
#endif // COMPARISON_BENCHMARKS_BASE_MATRIX_DIV_CONQUER_H
lib/pls/include/pls/internal/scheduling/scheduler_impl.h
View file @
8f47876d
...
...
@@ -154,7 +154,6 @@ template<typename Function>
void
scheduler
::
spawn_internal
(
Function
&&
lambda
)
{
if
(
thread_state
::
is_scheduler_active
())
{
thread_state
&
spawning_state
=
thread_state
::
get
();
scheduler
&
scheduler
=
spawning_state
.
get_scheduler
();
base_task
*
last_task
=
spawning_state
.
get_active_task
();
base_task
*
spawned_task
=
last_task
->
next_
;
...
...
lib/pls/include/pls/internal/scheduling/strain_local_resource.h
View file @
8f47876d
...
...
@@ -60,8 +60,7 @@ class strain_local_resource {
};
strain_local_resource
(
unsigned
num_threads
,
unsigned
depth
)
:
local_items_
()
{
local_items_
.
reserve
(
num_threads
);
unsigned
depth
)
:
local_items_
(
num_threads
)
{
for
(
unsigned
thread_id
=
0
;
thread_id
<
num_threads
;
thread_id
++
)
{
local_items_
[
thread_id
].
reserve
(
depth
);
for
(
unsigned
i
=
0
;
i
<
depth
;
i
++
)
{
...
...
lib/pls/include/pls/pls.h
View file @
8f47876d
...
...
@@ -8,6 +8,7 @@
#include "pls/algorithms/reduce.h"
#include "pls/internal/scheduling/scheduler.h"
#include "pls/internal/scheduling/strain_local_resource.h"
#include "pls/internal/helpers/range.h"
#include "pls/internal/helpers/member_function.h"
...
...
@@ -28,6 +29,9 @@ static void serial(Function &&function) {
scheduler
::
serial
(
std
::
forward
<
Function
>
(
function
));
}
// strain local resource support (rather low-level)
using
internal
::
scheduling
::
strain_local_resource
;
// general helpers that can be handy when using PLS
template
<
class
C
,
typename
R
,
typename
...
ARGS
>
using
member_function
=
internal
::
helpers
::
member_function
<
C
,
R
,
ARGS
...
>
;
...
...
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