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sparse_lu.cpp
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Created
Thu, Feb 20, 22:54
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Sat, Feb 22, 22:54 (1 d, 1 h)
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rDLMA Diffusion limited mixed aggregation
sparse_lu.cpp
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// g++ -I.. sparse_lu.cpp -O3 -g0 -I /usr/include/superlu/ -lsuperlu -lgfortran -DSIZE=1000 -DDENSITY=.05 && ./a.out
#define EIGEN_SUPERLU_SUPPORT
#define EIGEN_UMFPACK_SUPPORT
#include <Eigen/Sparse>
#define NOGMM
#define NOMTL
#ifndef SIZE
#define SIZE 10
#endif
#ifndef DENSITY
#define DENSITY 0.01
#endif
#ifndef REPEAT
#define REPEAT 1
#endif
#include "BenchSparseUtil.h"
#ifndef MINDENSITY
#define MINDENSITY 0.0004
#endif
#ifndef NBTRIES
#define NBTRIES 10
#endif
#define BENCH(X) \
timer.reset(); \
for (int _j=0; _j<NBTRIES; ++_j) { \
timer.start(); \
for (int _k=0; _k<REPEAT; ++_k) { \
X \
} timer.stop(); }
typedef
Matrix
<
Scalar
,
Dynamic
,
1
>
VectorX
;
#include <Eigen/LU>
template
<
int
Backend
>
void
doEigen
(
const
char
*
name
,
const
EigenSparseMatrix
&
sm1
,
const
VectorX
&
b
,
VectorX
&
x
,
int
flags
=
0
)
{
std
::
cout
<<
name
<<
"..."
<<
std
::
flush
;
BenchTimer
timer
;
timer
.
start
();
SparseLU
<
EigenSparseMatrix
,
Backend
>
lu
(
sm1
,
flags
);
timer
.
stop
();
if
(
lu
.
succeeded
())
std
::
cout
<<
":
\t
"
<<
timer
.
value
()
<<
endl
;
else
{
std
::
cout
<<
":
\t
FAILED"
<<
endl
;
return
;
}
bool
ok
;
timer
.
reset
();
timer
.
start
();
ok
=
lu
.
solve
(
b
,
&
x
);
timer
.
stop
();
if
(
ok
)
std
::
cout
<<
" solve:
\t
"
<<
timer
.
value
()
<<
endl
;
else
std
::
cout
<<
" solve:
\t
"
<<
" FAILED"
<<
endl
;
//std::cout << x.transpose() << "\n";
}
int
main
(
int
argc
,
char
*
argv
[])
{
int
rows
=
SIZE
;
int
cols
=
SIZE
;
float
density
=
DENSITY
;
BenchTimer
timer
;
VectorX
b
=
VectorX
::
Random
(
cols
);
VectorX
x
=
VectorX
::
Random
(
cols
);
bool
densedone
=
false
;
//for (float density = DENSITY; density>=MINDENSITY; density*=0.5)
// float density = 0.5;
{
EigenSparseMatrix
sm1
(
rows
,
cols
);
fillMatrix
(
density
,
rows
,
cols
,
sm1
);
// dense matrices
#ifdef DENSEMATRIX
if
(
!
densedone
)
{
densedone
=
true
;
std
::
cout
<<
"Eigen Dense
\t
"
<<
density
*
100
<<
"%
\n
"
;
DenseMatrix
m1
(
rows
,
cols
);
eiToDense
(
sm1
,
m1
);
BenchTimer
timer
;
timer
.
start
();
FullPivLU
<
DenseMatrix
>
lu
(
m1
);
timer
.
stop
();
std
::
cout
<<
"Eigen/dense:
\t
"
<<
timer
.
value
()
<<
endl
;
timer
.
reset
();
timer
.
start
();
lu
.
solve
(
b
,
&
x
);
timer
.
stop
();
std
::
cout
<<
" solve:
\t
"
<<
timer
.
value
()
<<
endl
;
// std::cout << b.transpose() << "\n";
// std::cout << x.transpose() << "\n";
}
#endif
#ifdef EIGEN_UMFPACK_SUPPORT
x
.
setZero
();
doEigen
<
Eigen
::
UmfPack
>
(
"Eigen/UmfPack (auto)"
,
sm1
,
b
,
x
,
0
);
#endif
#ifdef EIGEN_SUPERLU_SUPPORT
x
.
setZero
();
doEigen
<
Eigen
::
SuperLU
>
(
"Eigen/SuperLU (nat)"
,
sm1
,
b
,
x
,
Eigen
::
NaturalOrdering
);
// doEigen<Eigen::SuperLU>("Eigen/SuperLU (MD AT+A)", sm1, b, x, Eigen::MinimumDegree_AT_PLUS_A);
// doEigen<Eigen::SuperLU>("Eigen/SuperLU (MD ATA)", sm1, b, x, Eigen::MinimumDegree_ATA);
doEigen
<
Eigen
::
SuperLU
>
(
"Eigen/SuperLU (COLAMD)"
,
sm1
,
b
,
x
,
Eigen
::
ColApproxMinimumDegree
);
#endif
}
return
0
;
}
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