/usr/include/madness/tensor/mtxmq.h is in libmadness-dev 0.10-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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This file is part of MADNESS.
Copyright (C) 2007,2010 Oak Ridge National Laboratory
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
For more information please contact:
Robert J. Harrison
Oak Ridge National Laboratory
One Bethel Valley Road
P.O. Box 2008, MS-6367
email: harrisonrj@ornl.gov
tel: 865-241-3937
fax: 865-572-0680
$Id$
*/
#ifndef MADNESS_TENSOR_MTXMQ_H__INCLUDED
#define MADNESS_TENSOR_MTXMQ_H__INCLUDED
#include <madness/madness_config.h>
typedef std::complex<double> double_complex;
namespace madness {
/// Matrix = Matrix transpose * matrix ... reference implementation
/// Does \c C=AT*B whereas mTxm does C=C+AT*B. It also supposed
/// to be fast which it achieves thru restrictions
/// * All dimensions even
/// * All pointers aligned
/// \code
/// c(i,j) = sum(k) a(k,i)*b(k,j) <------ does not accumulate into C
/// \endcode
template <typename aT, typename bT, typename cT>
void mTxmq(long dimi, long dimj, long dimk,
cT* restrict c, const aT* a, const bT* b) {
//std::cout << "IN GENERIC mTxmq " << tensor_type_names[TensorTypeData<aT>::id] << " " << tensor_type_names[TensorTypeData<bT>::id] << " " << tensor_type_names[TensorTypeData<cT>::id] << "\n";
for (long i=0; i<dimi; ++i,c+=dimj,++a) {
for (long j=0; j<dimj; ++j) c[j] = 0.0;
const aT *aik_ptr = a;
for (long k=0; k<dimk; ++k,aik_ptr+=dimi) {
aT aki = *aik_ptr;
for (long j=0; j<dimj; ++j) {
c[j] += aki*b[k*dimj+j];
}
}
}
}
/*
* mtxm, but with padded buffers.
*
* ext_b is the extent of the b array, so shrink() isn't needed.
*/
template <typename aT, typename bT, typename cT>
void mTxmq_padding(long dimi, long dimj, long dimk, long ext_b,
cT* c, const aT* a, const bT* b) {
const int alignment = 4;
bool free_b = false;
long effj = dimj;
/* Setup a buffer for c if needed */
cT* c_buf = c;
if (dimj%alignment) {
effj = (dimj | 3) + 1;
c_buf = (cT*)malloc(sizeof(cT)*dimi*effj);
}
/* Copy b into a buffer if needed */
if (ext_b%alignment) {
free_b = true;
bT* b_buf = (bT*)malloc(sizeof(bT)*dimk*effj);
bT* bp = b_buf;
for (long k=0; k<dimk; k++, bp += effj, b += ext_b)
memcpy(bp, b, sizeof(bT)*dimj);
b = b_buf;
ext_b = effj;
}
cT* c_work = c_buf;
/* mTxm */
for (long i=0; i<dimi; ++i,c_work+=effj,++a) {
for (long j=0; j<dimj; ++j) c_work[j] = 0.0;
const aT *aik_ptr = a;
for (long k=0; k<dimk; ++k,aik_ptr+=dimi) {
aT aki = *aik_ptr;
for (long j=0; j<dimj; ++j) {
c_work[j] += aki*b[k*ext_b+j];
}
}
}
/* Copy c out if needed */
if (dimj%alignment) {
cT* ct = c_buf;
for (long i=0; i<dimi; i++, ct += effj, c += dimj)
memcpy(c, ct, sizeof(cT)*dimj);
free(c_buf);
}
/* Free the buffer for b */
if (free_b) free((bT*)b);
}
#ifdef HAVE_IBMBGQ
extern void bgq_mtxmq_padded(long ni, long nj, long nk, long ej,
double* c, const double* a, const double* b);
extern void bgq_mtxmq_padded(long ni, long nj, long nk, long ej,
__complex__ double* c, const __complex__ double* a, const __complex__ double* b);
extern void bgq_mtxmq_padded(long ni, long nj, long nk, long ej,
__complex__ double* c, const double* a, const __complex__ double* b);
extern void bgq_mtxmq_padded(long ni, long nj, long nk, long ej,
__complex__ double* c, const __complex__ double* a, const double* b);
template <>
inline void mTxmq_padding(long ni, long nj, long nk, long ej,
double* c, const double* a, const double* b) {
bgq_mtxmq_padded(ni, nj, nk, ej, c, a, b);
}
template <>
inline void mTxmq_padding(long ni, long nj, long nk, long ej,
__complex__ double* c, const __complex__ double* a, const __complex__ double* b) {
bgq_mtxmq_padded(ni, nj, nk, ej, c, a, b);
}
template <>
inline void mTxmq_padding(long ni, long nj, long nk, long ej,
__complex__ double* c, const double* a, const __complex__ double* b) {
bgq_mtxmq_padded(ni, nj, nk, ej, c, a, b);
}
template <>
inline void mTxmq_padding(long ni, long nj, long nk, long ej,
__complex__ double* c, const __complex__ double* a, const double* b) {
bgq_mtxmq_padded(ni, nj, nk, ej, c, a, b);
}
#elif defined(HAVE_IBMBGP)
extern void bgpmTxmq(long ni, long nj, long nk, double* restrict c,
const double* a, const double* b);
extern void bgpmTxmq(long ni, long nj, long nk, double_complex* restrict c,
const double_complex* a, const double_complex* b);
template <>
inline void mTxmq(long ni, long nj, long nk, double* restrict c, const double* a, const double* b) {
bgpmTxmq(ni, nj, nk, c, a, b);
}
template <>
inline void mTxmq(long ni, long nj, long nk, double_complex* restrict c, const double_complex* a, const double_complex* b) {
bgpmTxmq(ni, nj, nk, c, a, b);
}
#elif defined(X86_64) && !defined(DISABLE_SSE3)
template <>
void mTxmq(long dimi, long dimj, long dimk,
double* restrict c, const double* a, const double* b);
template <>
void mTxmq(long dimi, long dimj, long dimk,
double_complex* restrict c, const double_complex* a, const double_complex* b);
#ifndef __INTEL_COMPILER
template <>
void mTxmq(long dimi, long dimj, long dimk,
double_complex* restrict c, const double_complex* a, const double* b);
#endif
#elif defined(X86_32)
template <>
void mTxmq(long dimi, long dimj, long dimk,
double* restrict c, const double* a, const double* b);
#endif
}
#endif // MADNESS_TENSOR_MTXMQ_H__INCLUDED
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