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//=====================================================
// Copyright (C) 2011 Andrea Arteaga <andyspiros@gmail.com>
//=====================================================
//
// This program is free software; you can redistribute it and/or
// modify it under the terms of the GNU General Public License
// as published by the Free Software Foundation; either version 2
// of the License, or (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//
#define PBLAS_PREFIX p
#define PBLAS_FUNC(NAME) CAT(CAT(CAT(PBLAS_PREFIX, SCALAR_PREFIX),NAME),_)
#define BLAS_FUNC(NAME) CAT(CAT(SCALAR_PREFIX,NAME),_)
template<> class pblas_interface<SCALAR> : public blacs_interface<SCALAR>
{
public:
static inline std::string name()
{
return MAKE_STRING(PBLASNAME);
}
static inline void parallel_axpy(const SCALAR& coef,
gene_vector& x, int *descX,
gene_vector& y, int *descY,
const int& size
)
{
int iZERO = 0, iONE = 1;
PBLAS_FUNC(axpy)(&size, &coef,
x, &iONE, &iONE, descX, &iONE,
y, &iONE, &iONE, descY, &iONE
);
}
static inline void parallel_matrix_vector_product(
int GlobalRows, int GlobalCols,
gene_matrix& A, int *descA,
gene_vector& x, int *descX,
gene_vector& y, int *descY
)
{
real_type alpha = 1., beta = 0.;
int iONE = 1;
int myid, procnum;
const char notrans = 'N';
blacs_pinfo_(&myid, &procnum);
PBLAS_FUNC(gemv)(¬rans, &GlobalRows, &GlobalCols,
&alpha, A, &iONE, &iONE, descA,
x, &iONE, &iONE, descX, &iONE,
&beta, y, &iONE, &iONE, descY, &iONE
);
}
static inline void parallel_lu_decomp(gene_matrix& X, std::vector<int>& ipiv, const int* desc)
{
const int GlobalRows = desc[2], GlobalCols = desc[3];
const int iONE = 1;
int info;
ipiv.resize(desc[8] + desc[4]);
PBLAS_FUNC(getrf)(&GlobalRows, &GlobalCols, X, &iONE, &iONE, desc,
&ipiv[0], &info);
if (info != 0 && myid() == 0)
cout << " { LU error : " << info << " } ";
}
static inline void parallel_cholesky(gene_matrix& X, const int* desc)
{
const int N = desc[2], iONE = 1;
const char UP = 'U';
int info;
PBLAS_FUNC(potrf)(&UP, &N, X, &iONE, &iONE, desc, &info);
if (info != 0 && myid() == 0)
cout << " { cholesky error : " << info << " } ";
}
static inline void parallel_qr_decomp(gene_matrix& X, const int* desc)
{
const int GlobalRows = desc[2], GlobalCols = desc[3],
BlockRows = desc[4], BlockCols = desc[5],
ctxt = desc[1];
int myrow, mycol, nprow, npcol, lwork;
SCALAR lworkd;
blacs_gridinfo_(&ctxt, &nprow, &npcol, &myrow, &mycol);
const int iONE = 1, iZERO = 0, imONE = -1,
ipivdim = numroc_(&GlobalCols, &BlockCols, &mycol, &iZERO, &npcol);
int info;
std::vector<int> ipiv(ipivdim);
std::vector<SCALAR> tau(ipivdim);
// Retrieve LWORK
PBLAS_FUNC(geqpf)(&GlobalRows, &GlobalCols, X, &iONE, &iONE, desc, &ipiv[0], &tau[0], &lworkd, &imONE, &info);
lwork = static_cast<int>(lworkd);
if (info != 0 && myid() == 0)
cout << " { qr_decomp lwork error } ";
std::vector<SCALAR> work(lwork);
PBLAS_FUNC(geqpf)(&GlobalRows, &GlobalCols, X, &iONE, &iONE, desc, &ipiv[0], &tau[0], &work[0], &lwork, &info);
if (info != 0 && myid() == 0)
cout << " { qr_decomp computation error } ";
}
static inline void parallel_symm_ev(gene_matrix& A, const int* descA, gene_vector& w, gene_matrix& Z, const int* descZ)
{
const char jobz = 'V', uplo = 'u';
const int N = descA[2], iONE = 1, iZERO = 0, imONE = -1;
std::vector<SCALAR> work;
std::vector<int> iwork;
int lwork, liwork, info;
SCALAR lworkd;
// Retrieve l(i)work
PBLAS_FUNC(syevd)(&jobz, &uplo, &N, A, &iONE, &iONE, descA, w,
Z, &iONE, &iONE, descZ, &lworkd, &imONE, &liwork, &imONE, &info);
lwork = static_cast<int>(lworkd);
work.resize(lwork); iwork.resize(liwork);
if (info != 0 && myid() == 0)
cout << " { symm_ev l(i)work error } ";
PBLAS_FUNC(syevd)(&jobz, &uplo, &N, A, &iONE, &iONE, descA, w,
Z, &iONE, &iONE, descZ, &work[0], &lwork, &iwork[0], &liwork, &info);
if (info != 0 && myid() == 0)
cout << " { symm_ev computation error } ";
}
static inline void parallel_svd_decomp(gene_matrix& A, int* descA, gene_matrix& U, int *descU, gene_matrix& V, int *descV, gene_vector& s)
{
const char job = 'V';
const int size = descA[2], iONE = 1, iZERO = 0, imONE = -1;
std::vector<SCALAR> work;
int info, lwork;
SCALAR lworkd;
// Retrieve lwork
PBLAS_FUNC(gesvd)(&job, &job, &size, &size, A, &iONE, &iONE, descA, s,
U, &iONE, &iONE, descU, V, &iONE, &iONE, descV, &lworkd, &imONE, &info);
if (info != 0 && myid() == 0)
cout << " { svd_decomp lwork error } ";
lwork = static_cast<int>(lworkd);
work.resize(lwork);
PBLAS_FUNC(gesvd)(&job, &job, &size, &size, A, &iONE, &iONE, descA, s,
U, &iONE, &iONE, descU, V, &iONE, &iONE, descV, &work[0], &lwork, &info);
if (info != 0 && myid() == 0)
cout << " { svd_decomp computation error } ";
}
static inline real_type
test_LU(stl_matrix& Global_A, gene_matrix& Local_LU, int *desc)
{
bool iamroot = myid() == 0;
int _size = desc[2];
// Create and scatter Identity
int Testdesc[9];
stl_matrix Global_Test_stl, Local_Test_stl;
if (iamroot)
{
stl_matrix Identity(_size * _size);
for (int r = 0; r < _size; ++r)
Identity[r + _size * r] = 1;
scatter_matrix(Identity, Local_Test_stl, Testdesc, _size, _size,
desc[4], desc[5]);
}
else
scatter_matrix(stl_matrix(), Local_Test_stl, Testdesc);
// Compute L * U
real_type alpha = 1., malpha = -1;
int iONE = 1;
PBLAS_FUNC(trmm)("L", "L", "N", "N", desc + 2, desc + 2, &alpha, Local_LU,
&iONE, &iONE, desc, &Local_Test_stl[0], &iONE, &iONE, Testdesc);
PBLAS_FUNC(trmm)("R", "U", "N", "N", desc + 2, desc + 2, &alpha, Local_LU,
&iONE, &iONE, desc, &Local_Test_stl[0], &iONE, &iONE, Testdesc);
// Gather result
gather_matrix(Global_Test_stl, Local_Test_stl, desc);
if (iamroot)
{
int size2 = _size*_size;
BLAS_FUNC(axpy)(&size2, &malpha, &Global_A[0], &iONE,
&Global_Test_stl[0], &iONE);
double error = BLAS_FUNC(nrm2)(&size2, &Global_Test_stl[0], &iONE);
error /= BLAS_FUNC(nrm2)(&size2, &Global_A[0], &iONE);
return error;
}
else
return 0.;
}
static inline real_type
test_cholesky(stl_matrix& Global_A, gene_matrix& Local_U, int *desc)
{
bool iamroot = myid() == 0;
int _size = desc[2];
// Create and scatter Identity
int Testdesc[9];
stl_matrix Global_Test_stl, Local_Test_stl;
if (iamroot)
{
stl_matrix Identity(_size * _size);
for (int r = 0; r < _size; ++r)
Identity[r + _size * r] = 1;
scatter_matrix(Identity, Local_Test_stl, Testdesc, _size, _size,
desc[4], desc[5]);
}
else
scatter_matrix(stl_matrix(), Local_Test_stl, Testdesc);
// Compute U' * U
real_type alpha = 1., malpha = -1;
int iONE = 1;
PBLAS_FUNC(trmm)("L", "U", "T", "N", desc + 2, desc + 2, &alpha, Local_U,
&iONE, &iONE, desc, &Local_Test_stl[0], &iONE, &iONE, Testdesc);
PBLAS_FUNC(trmm)("R", "U", "N", "N", desc + 2, desc + 2, &alpha, Local_U,
&iONE, &iONE, desc, &Local_Test_stl[0], &iONE, &iONE, Testdesc);
// Gather result
gather_matrix(Global_Test_stl, Local_Test_stl, desc);
if (iamroot)
{
int size2 = _size*_size;
BLAS_FUNC(axpy)(&size2, &malpha, &Global_A[0], &iONE,
&Global_Test_stl[0], &iONE);
double error = BLAS_FUNC(nrm2)(&size2, &Global_Test_stl[0], &iONE);
error /= BLAS_FUNC(nrm2)(&size2, &Global_A[0], &iONE);
return error;
}
else
return 0.;
}
};
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