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cloud-sat/mapleCOMSPS/m4ri-20140914/m4ri/brilliantrussian.c

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2023-02-24 07:58:40 +00:00
/*******************************************************************
*
* M4RI: Linear Algebra over GF(2)
*
* Copyright (C) 2007, 2008 Gregory Bard <bard@fordham.edu>
* Copyright (C) 2008-2010 Martin Albrecht <M.R.Albrecht@rhul.ac.uk>
*
* Distributed under the terms of the GNU General Public License (GPL)
* version 2 or higher.
*
* This code 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.
*
* The full text of the GPL is available at:
*
* http://www.gnu.org/licenses/
*
********************************************************************/
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include "brilliantrussian.h"
#include "xor.h"
#include "graycode.h"
#include "echelonform.h"
#include "ple_russian.h"
/**
* \brief Perform Gaussian reduction to reduced row echelon form on a
* submatrix.
*
* The submatrix has dimension at most k starting at r x c of A. Checks
* for pivot rows up to row endrow (exclusive). Terminates as soon as
* finding a pivot column fails.
*
* \param A Matrix.
* \param r First row.
* \param c First column.
* \param k Maximal dimension of identity matrix to produce.
* \param end_row Maximal row index (exclusive) for rows to consider
* for inclusion.
*/
static inline int _mzd_gauss_submatrix_full(mzd_t *A, rci_t r, rci_t c, rci_t end_row, int k) {
assert(k <= m4ri_radix);
rci_t start_row = r;
rci_t j;
for (j = c; j < c + k; ++j) {
int found = 0;
for (rci_t i = start_row; i < end_row; ++i) {
/* first we need to clear the first columns */
word const tmp = mzd_read_bits(A, i, c, j - c + 1);
if(tmp) {
for (int l = 0; l < j - c; ++l)
if (__M4RI_GET_BIT(tmp, l))
mzd_row_add_offset(A, i, r+l, c+l);
/* pivot? */
if (mzd_read_bit(A, i, j)) {
mzd_row_swap(A, i, start_row);
/* clear above */
for (rci_t l = r; l < start_row; ++l) {
if (mzd_read_bit(A, l, j)) {
mzd_row_add_offset(A, l, start_row, j);
}
}
++start_row;
found = 1;
break;
}
}
}
if (found == 0) {
break;
}
}
__M4RI_DD_MZD(A);
__M4RI_DD_INT(j - c);
return j - c;
}
/**
* \brief Perform Gaussian reduction to upper triangular matrix on a
* submatrix.
*
* The submatrix has dimension at most k starting at r x c of A. Checks
* for pivot rows up to row end_row (exclusive). Terminates as soon as
* finding a pivot column fails.
*
* \param A Matrix.
* \param r First row.
* \param c First column.
* \param k Maximal dimension of identity matrix to produce.
* \param end_row Maximal row index (exclusive) for rows to consider
* for inclusion.
*/
static inline int _mzd_gauss_submatrix(mzd_t *A, rci_t r, rci_t c, rci_t end_row, int k) {
rci_t start_row = r;
int found;
rci_t j;
for (j = c; j < c+k; ++j) {
found = 0;
for (rci_t i = start_row; i < end_row; ++i) {
/* first we need to clear the first columns */
for (int l = 0; l < j - c; ++l)
if (mzd_read_bit(A, i, c+l))
mzd_row_add_offset(A, i, r+l, c+l);
/* pivot? */
if (mzd_read_bit(A, i, j)) {
mzd_row_swap(A, i, start_row);
start_row++;
found = 1;
break;
}
}
if (found == 0) {
break;
}
}
__M4RI_DD_MZD(A);
__M4RI_DD_INT(j - c);
return j - c;
}
/**
* \brief Given a submatrix in upper triangular form compute the
* reduced row echelon form.
*
* The submatrix has dimension at most k starting at r x c of A. Checks
* for pivot rows up to row end_row (exclusive). Terminates as soon as
* finding a pivot column fails.
*
* \param A Matrix.
* \param r First row.
* \param c First column.
* \param k Maximal dimension of identity matrix to produce.
* \param end_row Maximal row index (exclusive) for rows to consider
* for inclusion.
*/
static inline int _mzd_gauss_submatrix_top(mzd_t *A, rci_t r, rci_t c, int k) {
rci_t start_row = r;
for (rci_t j = c; j < c + k; ++j) {
for (rci_t l = r; l < start_row; ++l) {
if (mzd_read_bit(A, l, j)) {
mzd_row_add_offset(A, l, start_row, j);
}
}
++start_row;
}
__M4RI_DD_MZD(A);
__M4RI_DD_INT(k);
return k;
}
static inline void _mzd_copy_back_rows(mzd_t *A, mzd_t const *U, rci_t r, rci_t c, int k) {
wi_t const startblock = c / m4ri_radix;
wi_t const width = A->width - startblock;
for (int i = 0; i < k; ++i) {
word const *const src = U->rows[i] + startblock;
word *const dst = A->rows[r+i] + startblock;
for (wi_t j = 0; j < width; ++j) {
dst[j] = src[j];
}
}
__M4RI_DD_MZD(A);
}
void mzd_make_table(mzd_t const *M, rci_t r, rci_t c, int k, mzd_t *T, rci_t *L)
{
wi_t const homeblock = c / m4ri_radix;
word const mask_end = __M4RI_LEFT_BITMASK(M->ncols % m4ri_radix);
word const pure_mask_begin = __M4RI_RIGHT_BITMASK(m4ri_radix - (c % m4ri_radix));
word const mask_begin = (M->width - homeblock != 1) ? pure_mask_begin : pure_mask_begin & mask_end;
wi_t const wide = M->width - homeblock;
int const twokay = __M4RI_TWOPOW(k);
L[0] = 0;
for (rci_t i = 1; i < twokay; ++i) {
word *ti = T->rows[i] + homeblock;
word *ti1 = T->rows[i-1] + homeblock;
rci_t const rowneeded = r + m4ri_codebook[k]->inc[i - 1];
int const id = m4ri_codebook[k]->ord[i];
L[id] = i;
if (rowneeded >= M->nrows)
continue;
word *m = M->rows[rowneeded] + homeblock;
*ti++ = (*m++ ^ *ti1++) & mask_begin;
wi_t j;
for(j = 1; j + 8 <= wide - 1; j += 8) {
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
*ti++ = *m++ ^ *ti1++;
}
switch(wide - j) {
case 8: *ti++ = *m++ ^ *ti1++;
case 7: *ti++ = *m++ ^ *ti1++;
case 6: *ti++ = *m++ ^ *ti1++;
case 5: *ti++ = *m++ ^ *ti1++;
case 4: *ti++ = *m++ ^ *ti1++;
case 3: *ti++ = *m++ ^ *ti1++;
case 2: *ti++ = *m++ ^ *ti1++;
case 1: *ti++ = (*m++ ^ *ti1++) & mask_end;
}
}
__M4RI_DD_MZD(T);
__M4RI_DD_RCI_ARRAY(L, twokay);
}
void mzd_process_rows(mzd_t *M, rci_t startrow, rci_t stoprow, rci_t startcol, int k, mzd_t const *T, rci_t const *L) {
wi_t const block = startcol / m4ri_radix;
wi_t const wide = M->width - block;
wi_t const count = (wide + 7) / 8; /* Unrolled loop count */
int const entry_point = wide % 8; /* Unrolled loop entry point */
if(k == 1) {
word const bm = m4ri_one << (startcol % m4ri_radix);
rci_t r;
for (r = startrow; r + 2 <= stoprow; r += 2) {
word const b0 = M->rows[r+0][block] & bm;
word const b1 = M->rows[r+1][block] & bm;
word *m0 = M->rows[r+0] + block;
word *m1 = M->rows[r+1] + block;
word *t = T->rows[1] + block;
wi_t n = count;
if((b0 & b1)) {
switch (entry_point) {
case 0: do { *m0++ ^= *t; *m1++ ^= *t++;
case 7: *m0++ ^= *t; *m1++ ^= *t++;
case 6: *m0++ ^= *t; *m1++ ^= *t++;
case 5: *m0++ ^= *t; *m1++ ^= *t++;
case 4: *m0++ ^= *t; *m1++ ^= *t++;
case 3: *m0++ ^= *t; *m1++ ^= *t++;
case 2: *m0++ ^= *t; *m1++ ^= *t++;
case 1: *m0++ ^= *t; *m1++ ^= *t++;
} while (--n > 0);
}
} else if(b0) {
switch (entry_point) {
case 0: do { *m0++ ^= *t++;
case 7: *m0++ ^= *t++;
case 6: *m0++ ^= *t++;
case 5: *m0++ ^= *t++;
case 4: *m0++ ^= *t++;
case 3: *m0++ ^= *t++;
case 2: *m0++ ^= *t++;
case 1: *m0++ ^= *t++;
} while (--n > 0);
}
} else if(b1) {
switch (entry_point) {
case 0: do { *m1++ ^= *t++;
case 7: *m1++ ^= *t++;
case 6: *m1++ ^= *t++;
case 5: *m1++ ^= *t++;
case 4: *m1++ ^= *t++;
case 3: *m1++ ^= *t++;
case 2: *m1++ ^= *t++;
case 1: *m1++ ^= *t++;
} while (--n > 0);
}
}
}
/* TODO: this code is a bit silly/overkill, it just takes care of the last row */
for( ; r < stoprow; ++r) {
rci_t const x0 = L[ mzd_read_bits_int(M, r, startcol, k) ];
word *m0 = M->rows[r] + block;
word *t0 = T->rows[x0] + block;
wi_t n = count;
switch (entry_point) {
case 0: do { *m0++ ^= *t0++;
case 7: *m0++ ^= *t0++;
case 6: *m0++ ^= *t0++;
case 5: *m0++ ^= *t0++;
case 4: *m0++ ^= *t0++;
case 3: *m0++ ^= *t0++;
case 2: *m0++ ^= *t0++;
case 1: *m0++ ^= *t0++;
} while (--n > 0);
}
}
__M4RI_DD_MZD(M);
return;
}
rci_t r;
for (r = startrow; r + 2 <= stoprow; r += 2) {
rci_t const x0 = L[ mzd_read_bits_int(M, r+0, startcol, k) ];
rci_t const x1 = L[ mzd_read_bits_int(M, r+1, startcol, k) ];
word *m0 = M->rows[r+0] + block;
word *t0 = T->rows[x0] + block;
word *m1 = M->rows[r+1] + block;
word *t1 = T->rows[x1] + block;
wi_t n = count;
switch (entry_point) {
case 0: do { *m0++ ^= *t0++; *m1++ ^= *t1++;
case 7: *m0++ ^= *t0++; *m1++ ^= *t1++;
case 6: *m0++ ^= *t0++; *m1++ ^= *t1++;
case 5: *m0++ ^= *t0++; *m1++ ^= *t1++;
case 4: *m0++ ^= *t0++; *m1++ ^= *t1++;
case 3: *m0++ ^= *t0++; *m1++ ^= *t1++;
case 2: *m0++ ^= *t0++; *m1++ ^= *t1++;
case 1: *m0++ ^= *t0++; *m1++ ^= *t1++;
} while (--n > 0);
}
}
for( ; r < stoprow; ++r) {
rci_t const x0 = L[ mzd_read_bits_int(M, r, startcol, k) ];
word *m0 = M->rows[r] + block;
word *t0 = T->rows[x0] + block;
wi_t n = count;
switch (entry_point) {
case 0: do { *m0++ ^= *t0++;
case 7: *m0++ ^= *t0++;
case 6: *m0++ ^= *t0++;
case 5: *m0++ ^= *t0++;
case 4: *m0++ ^= *t0++;
case 3: *m0++ ^= *t0++;
case 2: *m0++ ^= *t0++;
case 1: *m0++ ^= *t0++;
} while (--n > 0);
}
}
__M4RI_DD_MZD(M);
}
void mzd_process_rows2(mzd_t *M, rci_t startrow, rci_t stoprow, rci_t startcol, int k,
mzd_t const *T0, rci_t const *L0, mzd_t const *T1, rci_t const *L1) {
assert(k <= m4ri_radix);
wi_t const blocknum = startcol / m4ri_radix;
wi_t const wide = M->width - blocknum;
int const ka = k / 2;
int const kb = k - k / 2;
rci_t r;
word const ka_bm = __M4RI_LEFT_BITMASK(ka);
word const kb_bm = __M4RI_LEFT_BITMASK(kb);
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for private(r) shared(startrow, stoprow) schedule(static,512) // MAX((__M4RI_CPU_L1_CACHE >> 3) / wide,
#endif
for(r = startrow; r < stoprow; ++r) {
word bits = mzd_read_bits(M, r, startcol, k);
rci_t const x0 = L0[ bits & ka_bm ]; bits>>=ka;
rci_t const x1 = L1[ bits & kb_bm ];
if((x0 | x1) == 0) // x0 == 0 && x1 == 0
continue;
word *m0 = M->rows[r] + blocknum;
word const *t[2];
t[0] = T0->rows[x0] + blocknum;
t[1] = T1->rows[x1] + blocknum;
_mzd_combine_2( m0, t, wide);
}
__M4RI_DD_MZD(M);
}
void mzd_process_rows3(mzd_t *M, rci_t startrow, rci_t stoprow, rci_t startcol, int k,
mzd_t const *T0, rci_t const *L0, mzd_t const *T1, rci_t const *L1, mzd_t const *T2, rci_t const *L2) {
assert(k <= m4ri_radix);
wi_t const blocknum = startcol / m4ri_radix;
wi_t const wide = M->width - blocknum;
int rem = k % 3;
int const ka = k / 3 + ((rem >= 2) ? 1 : 0);
int const kb = k / 3 + ((rem >= 1) ? 1 : 0);
int const kc = k / 3;
rci_t r;
word const ka_bm = __M4RI_LEFT_BITMASK(ka);
word const kb_bm = __M4RI_LEFT_BITMASK(kb);
word const kc_bm = __M4RI_LEFT_BITMASK(kc);
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for private(r) shared(startrow, stoprow) schedule(static,512) //if(stoprow-startrow > 128)
#endif
for(r= startrow; r < stoprow; ++r) {
word bits = mzd_read_bits(M, r, startcol, k);
rci_t const x0 = L0[ bits & ka_bm ]; bits>>=ka;
rci_t const x1 = L1[ bits & kb_bm ]; bits>>=kb;
rci_t const x2 = L2[ bits & kc_bm ];
if((x0 | x1 | x2) == 0) // x0 == 0 && x1 == 0 && x2 == 0
continue;
word *m0 = M->rows[r] + blocknum;
word const *t[3];
t[0] = T0->rows[x0] + blocknum;
t[1] = T1->rows[x1] + blocknum;
t[2] = T2->rows[x2] + blocknum;
_mzd_combine_3( m0, t, wide);
}
__M4RI_DD_MZD(M);
}
void mzd_process_rows4(mzd_t *M, rci_t startrow, rci_t stoprow, rci_t startcol, int k,
mzd_t const *T0, rci_t const *L0, mzd_t const *T1, rci_t const *L1, mzd_t const *T2, rci_t const *L2,
mzd_t const *T3, rci_t const *L3) {
assert(k <= m4ri_radix);
wi_t const blocknum = startcol / m4ri_radix;
wi_t const wide = M->width - blocknum;
int const rem = k % 4;
int const ka = k / 4 + ((rem >= 3) ? 1 : 0);
int const kb = k / 4 + ((rem >= 2) ? 1 : 0);
int const kc = k / 4 + ((rem >= 1) ? 1 : 0);
int const kd = k / 4;
rci_t r;
word const ka_bm = __M4RI_LEFT_BITMASK(ka);
word const kb_bm = __M4RI_LEFT_BITMASK(kb);
word const kc_bm = __M4RI_LEFT_BITMASK(kc);
word const kd_bm = __M4RI_LEFT_BITMASK(kd);
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for private(r) shared(startrow, stoprow) schedule(static,512) //if(stoprow-startrow > 128)
#endif
for(r = startrow; r < stoprow; ++r) {
word bits = mzd_read_bits(M, r, startcol, k);
rci_t const x0 = L0[ bits & ka_bm ]; bits>>=ka;
rci_t const x1 = L1[ bits & kb_bm ]; bits>>=kb;
rci_t const x2 = L2[ bits & kc_bm ]; bits>>=kc;
rci_t const x3 = L3[ bits & kd_bm ];
if(((x0 | x1) | (x2 | x3)) == 0) // x0 == 0 && x1 == 0 && x2 == 0 && x3 == 0
continue;
word *m0 = M->rows[r] + blocknum;
word const *t[4];
t[0] = T0->rows[x0] + blocknum;
t[1] = T1->rows[x1] + blocknum;
t[2] = T2->rows[x2] + blocknum;
t[3] = T3->rows[x3] + blocknum;
_mzd_combine_4( m0, t, wide);
}
__M4RI_DD_MZD(M);
}
void mzd_process_rows5(mzd_t *M, rci_t startrow, rci_t stoprow, rci_t startcol, int k,
mzd_t const *T0, rci_t const *L0, mzd_t const *T1, rci_t const *L1, mzd_t const *T2, rci_t const *L2,
mzd_t const *T3, rci_t const *L3, mzd_t const *T4, rci_t const *L4) {
assert(k <= m4ri_radix);
wi_t const blocknum = startcol / m4ri_radix;
wi_t const wide = M->width - blocknum;
int rem = k % 5;
int const ka = k / 5 + ((rem >= 4) ? 1 : 0);
int const kb = k / 5 + ((rem >= 3) ? 1 : 0);
int const kc = k / 5 + ((rem >= 2) ? 1 : 0);
int const kd = k / 5 + ((rem >= 1) ? 1 : 0);
int const ke = k / 5;
rci_t r;
word const ka_bm = __M4RI_LEFT_BITMASK(ka);
word const kb_bm = __M4RI_LEFT_BITMASK(kb);
word const kc_bm = __M4RI_LEFT_BITMASK(kc);
word const kd_bm = __M4RI_LEFT_BITMASK(kd);
word const ke_bm = __M4RI_LEFT_BITMASK(ke);
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for private(r) shared(startrow, stoprow) schedule(static,512) //if(stoprow-startrow > 128)
#endif
for(r = startrow; r < stoprow; ++r) {
word bits = mzd_read_bits(M, r, startcol, k);
rci_t const x0 = L0[ bits & ka_bm ]; bits>>=ka;
rci_t const x1 = L1[ bits & kb_bm ]; bits>>=kb;
rci_t const x2 = L2[ bits & kc_bm ]; bits>>=kc;
rci_t const x3 = L3[ bits & kd_bm ]; bits>>=kd;
rci_t const x4 = L4[ bits & ke_bm ];
if(((x0 | x1 | x2) | (x3 | x4)) == 0) // x0 == 0 && x1 == 0 && x2 == 0 && x3 == 0 && x4 == 0
continue;
word *m0 = M->rows[r] + blocknum;
word const *t[5];
t[0] = T0->rows[x0] + blocknum;
t[1] = T1->rows[x1] + blocknum;
t[2] = T2->rows[x2] + blocknum;
t[3] = T3->rows[x3] + blocknum;
t[4] = T4->rows[x4] + blocknum;
_mzd_combine_5( m0, t, wide);
}
__M4RI_DD_MZD(M);
}
void mzd_process_rows6(mzd_t *M, rci_t startrow, rci_t stoprow, rci_t startcol, int k,
mzd_t const *T0, rci_t const *L0, mzd_t const *T1, rci_t const *L1, mzd_t const *T2,
rci_t const *L2, mzd_t const *T3, rci_t const *L3, mzd_t const *T4, rci_t const *L4,
mzd_t const *T5, rci_t const *L5) {
assert(k <= m4ri_radix);
wi_t const blocknum = startcol / m4ri_radix;
wi_t const wide = M->width - blocknum;
int const rem = k % 6;
int const ka = k / 6 + ((rem >= 5) ? 1 : 0);
int const kb = k / 6 + ((rem >= 4) ? 1 : 0);
int const kc = k / 6 + ((rem >= 3) ? 1 : 0);
int const kd = k / 6 + ((rem >= 2) ? 1 : 0);
int const ke = k / 6 + ((rem >= 1) ? 1 : 0);;
int const kf = k / 6;
rci_t r;
word const ka_bm = __M4RI_LEFT_BITMASK(ka);
word const kb_bm = __M4RI_LEFT_BITMASK(kb);
word const kc_bm = __M4RI_LEFT_BITMASK(kc);
word const kd_bm = __M4RI_LEFT_BITMASK(kd);
word const ke_bm = __M4RI_LEFT_BITMASK(ke);
word const kf_bm = __M4RI_LEFT_BITMASK(kf);
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for private(r) shared(startrow, stoprow) schedule(static,512) //if(stoprow-startrow > 128)
#endif
for(r = startrow; r < stoprow; ++r) {
word bits = mzd_read_bits(M, r, startcol, k);
rci_t const x0 = L0[ bits & ka_bm ]; bits>>=ka;
rci_t const x1 = L1[ bits & kb_bm ]; bits>>=kb;
rci_t const x2 = L2[ bits & kc_bm ]; bits>>=kc;
rci_t const x3 = L3[ bits & kd_bm ]; bits>>=kd;
rci_t const x4 = L4[ bits & ke_bm ]; bits>>=ke;
rci_t const x5 = L5[ bits & kf_bm ];
/* Waste three clocks on OR-ing (modern CPU can do three in
* parallel) to avoid possible multiple conditional jumps. */
if(((x0 | x1) | (x2 | x3) | (x4 | x5)) == 0) // x0 == 0 && x1 == 0 && x2 == 0 && x3 == 0 && x4 == 0 && x5 == 0
continue;
word *m0 = M->rows[r] + blocknum;
word const *t[6];
t[0] = T0->rows[x0] + blocknum;
t[1] = T1->rows[x1] + blocknum;
t[2] = T2->rows[x2] + blocknum;
t[3] = T3->rows[x3] + blocknum;
t[4] = T4->rows[x4] + blocknum;
t[5] = T5->rows[x5] + blocknum;
_mzd_combine_6( m0, t, wide);
}
__M4RI_DD_MZD(M);
}
rci_t _mzd_echelonize_m4ri(mzd_t *A, int const full, int k, int heuristic, double const threshold) {
/**
* \par General algorithm
* \li Step 1.Denote the first column to be processed in a given
* iteration as \f$a_i\f$. Then, perform Gaussian elimination on the
* first \f$3k\f$ rows after and including the \f$i\f$-th row to
* produce an identity matrix in \f$a_{i,i} ... a_{i+k-1,i+k-1},\f$
* and zeroes in \f$a_{i+k,i} ... a_{i+3k-1,i+k-1}\f$.
*
* \li Step 2. Construct a table consisting of the \f$2^k\f$ binary strings of
* length k in a Gray code. Thus with only \f$2^k\f$ vector
* additions, all possible linear combinations of these k rows
* have been precomputed.
*
* \li Step 3. One can rapidly process the remaining rows from \f$i +
* 3k\f$ until row \f$m\f$ (the last row) by using the table. For
* example, suppose the \f$j\f$-th row has entries \f$a_{j,i}
* ... a_{j,i+k-1}\f$ in the columns being processed. Selecting the
* row of the table associated with this k-bit string, and adding it
* to row j will force the k columns to zero, and adjust the
* remaining columns from \f$ i + k\f$ to n in the appropriate way,
* as if Gaussian elimination had been performed.
*
* \li Step 4. While the above form of the algorithm will reduce a
* system of boolean linear equations to unit upper triangular form,
* and thus permit a system to be solved with back substitution, the
* M4RI algorithm can also be used to invert a matrix, or put the
* system into reduced row echelon form (RREF). Simply run Step 3
* on rows \f$0 ... i-1\f$ as well as on rows \f$i + 3k
* ... m\f$. This only affects the complexity slightly, changing the
* 2.5 coeffcient to 3.
*
* \attention This function implements a variant of the algorithm
* described above. If heuristic is true, then this algorithm, will
* switch to PLUQ based echelon form computation once the density
* reaches the threshold.
*/
rci_t const ncols = A->ncols;
if (k == 0) {
k = m4ri_opt_k(A->nrows, ncols, 0);
if (k >= 7)
k = 7;
if (0.75 * __M4RI_TWOPOW(k) * ncols > __M4RI_CPU_L3_CACHE / 2.0)
k -= 1;
}
int kk = 6 * k;
mzd_t *U = mzd_init(kk, ncols);
mzd_t *T0 = mzd_init(__M4RI_TWOPOW(k), ncols);
mzd_t *T1 = mzd_init(__M4RI_TWOPOW(k), ncols);
mzd_t *T2 = mzd_init(__M4RI_TWOPOW(k), ncols);
mzd_t *T3 = mzd_init(__M4RI_TWOPOW(k), ncols);
mzd_t *T4 = mzd_init(__M4RI_TWOPOW(k), ncols);
mzd_t *T5 = mzd_init(__M4RI_TWOPOW(k), ncols);
rci_t *L0 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L1 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L2 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L3 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L4 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L5 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t last_check = 0;
rci_t r = 0;
rci_t c = 0;
if (heuristic) {
if (c < ncols && r < A->nrows && _mzd_density(A, 32, 0, 0) >= threshold) {
wi_t const tmp = c / m4ri_radix;
rci_t const tmp2 = tmp * m4ri_radix;
mzd_t *Abar = mzd_init_window(A, r, tmp2, A->nrows, ncols);
r += mzd_echelonize_pluq(Abar, full);
mzd_free(Abar);
c = ncols;
}
}
while(c < ncols) {
if (heuristic && c > (last_check + 256)) {
last_check = c;
if (c < ncols && r < A->nrows && _mzd_density(A, 32, r, c) >= threshold) {
mzd_t *Abar = mzd_init_window(A, r, (c / m4ri_radix) * m4ri_radix, A->nrows, ncols);
if (!full) {
r += mzd_echelonize_pluq(Abar, full);
} else {
rci_t r2 = mzd_echelonize_pluq(Abar, full);
if (r > 0)
_mzd_top_echelonize_m4ri(A, 0, r, c, r);
r += r2;
}
mzd_free(Abar);
break;
}
}
if(c + kk > ncols) {
kk = ncols - c;
}
int kbar;
if (full) {
kbar = _mzd_gauss_submatrix_full(A, r, c, A->nrows, kk);
} else {
kbar = _mzd_gauss_submatrix(A, r, c, A->nrows, kk);
/* this isn't necessary, adapt make_table */
U = mzd_submatrix(U, A, r, 0, r + kbar, ncols);
_mzd_gauss_submatrix_top(A, r, c, kbar);
}
if (kbar > 5 * k) {
int const rem = kbar % 6;
int const ka = kbar / 6 + ((rem >= 5) ? 1 : 0);
int const kb = kbar / 6 + ((rem >= 4) ? 1 : 0);
int const kc = kbar / 6 + ((rem >= 3) ? 1 : 0);
int const kd = kbar / 6 + ((rem >= 2) ? 1 : 0);
int const ke = kbar / 6 + ((rem >= 1) ? 1 : 0);;
int const kf = kbar / 6;
if(full || kbar == kk) {
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_make_table(A, r+ka+kb+kc, c, kd, T3, L3);
mzd_make_table(A, r+ka+kb+kc+kd, c, ke, T4, L4);
mzd_make_table(A, r+ka+kb+kc+kd+ke, c, kf, T5, L5);
}
if(kbar == kk)
mzd_process_rows6(A, r+kbar, A->nrows, c, kbar, T0, L0, T1, L1, T2, L2, T3, L3, T4, L4, T5, L5);
if(full)
mzd_process_rows6(A, 0, r, c, kbar, T0, L0, T1, L1, T2, L2, T3, L3, T4, L4, T5, L5);
} else if (kbar > 4 * k) {
int const rem = kbar % 5;
int const ka = kbar / 5 + ((rem >= 4) ? 1 : 0);
int const kb = kbar / 5 + ((rem >= 3) ? 1 : 0);
int const kc = kbar / 5 + ((rem >= 2) ? 1 : 0);
int const kd = kbar / 5 + ((rem >= 1) ? 1 : 0);
int const ke = kbar / 5;
if(full || kbar == kk) {
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_make_table(A, r+ka+kb+kc, c, kd, T3, L3);
mzd_make_table(A, r+ka+kb+kc+kd, c, ke, T4, L4);
}
if(kbar == kk)
mzd_process_rows5(A, r+kbar, A->nrows, c, kbar, T0, L0, T1, L1, T2, L2, T3, L3, T4, L4);
if(full)
mzd_process_rows5(A, 0, r, c, kbar, T0, L0, T1, L1, T2, L2, T3, L3, T4, L4);
} else if (kbar > 3 * k) {
int const rem = kbar % 4;
int const ka = kbar / 4 + ((rem >= 3) ? 1 : 0);
int const kb = kbar / 4 + ((rem >= 2) ? 1 : 0);
int const kc = kbar / 4 + ((rem >= 1) ? 1 : 0);
int const kd = kbar / 4;
if(full || kbar == kk) {
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_make_table(A, r+ka+kb+kc, c, kd, T3, L3);
}
if(kbar == kk)
mzd_process_rows4(A, r+kbar, A->nrows, c, kbar, T0, L0, T1, L1, T2, L2, T3, L3);
if(full)
mzd_process_rows4(A, 0, r, c, kbar, T0, L0, T1, L1, T2, L2, T3, L3);
} else if (kbar > 2 * k) {
int const rem = kbar % 3;
int const ka = kbar / 3 + ((rem >= 2) ? 1 : 0);
int const kb = kbar / 3 + ((rem >= 1) ? 1 : 0);
int const kc = kbar / 3;
if(full || kbar == kk) {
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
}
if(kbar == kk)
mzd_process_rows3(A, r+kbar, A->nrows, c, kbar, T0, L0, T1, L1, T2, L2);
if(full)
mzd_process_rows3(A, 0, r, c, kbar, T0, L0, T1, L1, T2, L2);
} else if (kbar > k) {
int const ka = kbar / 2;
int const kb = kbar - ka;
if(full || kbar == kk) {
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
}
if(kbar == kk)
mzd_process_rows2(A, r+kbar, A->nrows, c, kbar, T0, L0, T1, L1);
if(full)
mzd_process_rows2(A, 0, r, c, kbar, T0, L0, T1, L1);
} else if(kbar > 0) {
if(full || kbar == kk) {
mzd_make_table(A, r, c, kbar, T0, L0);
}
if(kbar == kk)
mzd_process_rows(A, r+kbar, A->nrows, c, kbar, T0, L0);
if(full)
mzd_process_rows(A, 0, r, c, kbar, T0, L0);
}
if (!full) {
_mzd_copy_back_rows(A, U, r, c, kbar);
}
r += kbar;
c += kbar;
if(kk != kbar) {
rci_t cbar;
rci_t rbar;
if (mzd_find_pivot(A, r, c, &rbar, &cbar)) {
c = cbar;
mzd_row_swap(A, r, rbar);
} else {
break;
}
//c++;
}
}
mzd_free(T0);
m4ri_mm_free(L0);
mzd_free(T1);
m4ri_mm_free(L1);
mzd_free(T2);
m4ri_mm_free(L2);
mzd_free(T3);
m4ri_mm_free(L3);
mzd_free(T4);
m4ri_mm_free(L4);
mzd_free(T5);
m4ri_mm_free(L5);
mzd_free(U);
__M4RI_DD_MZD(A);
__M4RI_DD_RCI(r);
return r;
}
rci_t _mzd_top_echelonize_m4ri(mzd_t *A, int k, rci_t r, rci_t c, rci_t max_r) {
rci_t const ncols = A->ncols;
int kbar = 0;
if (k == 0) {
k = m4ri_opt_k(max_r, A->ncols, 0);
if (k >= 7)
k = 7;
if (0.75 * __M4RI_TWOPOW(k) *A->ncols > __M4RI_CPU_L3_CACHE / 2.0)
k -= 1;
}
int kk = 6 * k;
mzd_t *U = mzd_init(kk, A->ncols);
mzd_t *T0 = mzd_init(__M4RI_TWOPOW(k), A->ncols);
mzd_t *T1 = mzd_init(__M4RI_TWOPOW(k), A->ncols);
mzd_t *T2 = mzd_init(__M4RI_TWOPOW(k), A->ncols);
mzd_t *T3 = mzd_init(__M4RI_TWOPOW(k), A->ncols);
mzd_t *T4 = mzd_init(__M4RI_TWOPOW(k), A->ncols);
mzd_t *T5 = mzd_init(__M4RI_TWOPOW(k), A->ncols);
rci_t *L0 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L1 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L2 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L3 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L4 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
rci_t *L5 = (rci_t*)m4ri_mm_calloc(__M4RI_TWOPOW(k), sizeof(rci_t));
while(c < ncols) {
if(c+kk > A->ncols) {
kk = ncols - c;
}
kbar = _mzd_gauss_submatrix_full(A, r, c, MIN(A->nrows,r+kk), kk);
if (kbar > 5 * k) {
int const rem = kbar % 6;
int const ka = kbar / 6 + ((rem >= 5) ? 1 : 0);
int const kb = kbar / 6 + ((rem >= 4) ? 1 : 0);
int const kc = kbar / 6 + ((rem >= 3) ? 1 : 0);
int const kd = kbar / 6 + ((rem >= 2) ? 1 : 0);
int const ke = kbar / 6 + ((rem >= 1) ? 1 : 0);;
int const kf = kbar / 6;
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_make_table(A, r+ka+kb+kc, c, kd, T3, L3);
mzd_make_table(A, r+ka+kb+kc+kd, c, ke, T4, L4);
mzd_make_table(A, r+ka+kb+kc+kd+ke, c, kf, T5, L5);
mzd_process_rows6(A, 0, MIN(r, max_r), c, kbar, T0, L0, T1, L1, T2, L2, T3, L3, T4, L4, T5, L5);
} else if (kbar > 4 * k) {
int const rem = kbar % 5;
int const ka = kbar / 5 + ((rem >= 4) ? 1 : 0);
int const kb = kbar / 5 + ((rem >= 3) ? 1 : 0);
int const kc = kbar / 5 + ((rem >= 2) ? 1 : 0);
int const kd = kbar / 5 + ((rem >= 1) ? 1 : 0);
int const ke = kbar / 5;
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_make_table(A, r+ka+kb+kc, c, kd, T3, L3);
mzd_make_table(A, r+ka+kb+kc+kd, c, ke, T4, L4);
mzd_process_rows5(A, 0, MIN(r, max_r), c, kbar, T0, L0, T1, L1, T2, L2, T3, L3, T4, L4);
} else if (kbar > 3 * k) {
const int rem = kbar%4;
const int ka = kbar/4 + ((rem >= 3) ? 1 : 0);
const int kb = kbar/4 + ((rem >= 2) ? 1 : 0);
const int kc = kbar/4 + ((rem >= 1) ? 1 : 0);
const int kd = kbar/4;
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_make_table(A, r+ka+kb+kc, c, kd, T3, L3);
mzd_process_rows4(A, 0, MIN(r, max_r), c, kbar, T0, L0, T1, L1, T2, L2, T3, L3);
} else if (kbar > 2 * k) {
const int rem = kbar%3;
const int ka = kbar/3 + ((rem >= 2) ? 1 : 0);
const int kb = kbar/3 + ((rem >= 1) ? 1 : 0);
const int kc = kbar/3;
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_make_table(A, r+ka+kb, c, kc, T2, L2);
mzd_process_rows3(A, 0, MIN(r, max_r), c, kbar, T0, L0, T1, L1, T2, L2);
} else if (kbar > k) {
const int ka = kbar/2;
const int kb = kbar - ka;
mzd_make_table(A, r, c, ka, T0, L0);
mzd_make_table(A, r+ka, c, kb, T1, L1);
mzd_process_rows2(A, 0, MIN(r, max_r), c, kbar, T0, L0, T1, L1);
} else if(kbar > 0) {
mzd_make_table(A, r, c, kbar, T0, L0);
mzd_process_rows(A, 0, MIN(r, max_r), c, kbar, T0, L0);
}
r += kbar;
c += kbar;
if(kk != kbar) {
c++;
}
}
mzd_free(T0);
m4ri_mm_free(L0);
mzd_free(T1);
m4ri_mm_free(L1);
mzd_free(T2);
m4ri_mm_free(L2);
mzd_free(T3);
m4ri_mm_free(L3);
mzd_free(T4);
m4ri_mm_free(L4);
mzd_free(T5);
m4ri_mm_free(L5);
mzd_free(U);
__M4RI_DD_MZD(A);
__M4RI_DD_RCI(r);
return r;
}
void mzd_top_echelonize_m4ri(mzd_t *M, int k) {
_mzd_top_echelonize_m4ri(M,k,0,0,M->nrows);
}
mzd_t *mzd_inv_m4ri(mzd_t *B, mzd_t const* A, int k) {
assert(A->nrows == A->ncols);
if(B == NULL) {
B = mzd_init(A->nrows, A->ncols);
} else {
assert(B->ncols == A->ncols && B->nrows && A->ncols);
}
const rci_t n = A->nrows;
const rci_t nr = m4ri_radix * A->width;
mzd_t *C = mzd_init(n, 2*nr);
mzd_t *AW = mzd_init_window(C, 0, 0, n, n);
mzd_t *BW = mzd_init_window(C, 0, nr, n, nr+n);
mzd_copy(AW, A);
mzd_set_ui(BW, 1);
mzd_echelonize_m4ri(C, TRUE, 0);
mzd_copy(B, BW);
mzd_free_window(AW);
mzd_free_window(BW);
mzd_free(C);
__M4RI_DD_MZD(B);
return B;
}
mzd_t *mzd_mul_m4rm(mzd_t *C, mzd_t const *A, mzd_t const *B, int k) {
rci_t a = A->nrows;
rci_t c = B->ncols;
if(A->ncols != B->nrows)
m4ri_die("mzd_mul_m4rm: A ncols (%d) need to match B nrows (%d).\n", A->ncols, B->nrows);
if (C == NULL) {
C = mzd_init(a, c);
} else {
if (C->nrows != a || C->ncols != c)
m4ri_die("mzd_mul_m4rm: C (%d x %d) has wrong dimensions.\n", C->nrows, C->ncols);
}
return _mzd_mul_m4rm(C, A, B, k, TRUE);
}
mzd_t *mzd_addmul_m4rm(mzd_t *C, mzd_t const *A, mzd_t const *B, int k) {
rci_t a = A->nrows;
rci_t c = B->ncols;
if(C->ncols == 0 || C->nrows == 0)
return C;
if(A->ncols != B->nrows)
m4ri_die("mzd_mul_m4rm A ncols (%d) need to match B nrows (%d) .\n", A->ncols, B->nrows);
if (C == NULL) {
C = mzd_init(a, c);
} else {
if (C->nrows != a || C->ncols != c)
m4ri_die("mzd_mul_m4rm: C has wrong dimensions.\n");
}
return _mzd_mul_m4rm(C, A, B, k, FALSE);
}
#define __M4RI_M4RM_NTABLES 8
mzd_t *_mzd_mul_m4rm(mzd_t *C, mzd_t const *A, mzd_t const *B, int k, int clear) {
/**
* The algorithm proceeds as follows:
*
* Step 1. Make a Gray code table of all the \f$2^k\f$ linear combinations
* of the \f$k\f$ rows of \f$B_i\f$. Call the \f$x\f$-th row
* \f$T_x\f$.
*
* Step 2. Read the entries
* \f$a_{j,(i-1)k+1}, a_{j,(i-1)k+2} , ... , a_{j,(i-1)k+k}.\f$
*
* Let \f$x\f$ be the \f$k\f$ bit binary number formed by the
* concatenation of \f$a_{j,(i-1)k+1}, ... , a_{j,ik}\f$.
*
* Step 3. for \f$h = 1,2, ... , c\f$ do
* calculate \f$C_{jh} = C_{jh} + T_{xh}\f$.
*/
rci_t x[__M4RI_M4RM_NTABLES];
rci_t *L[__M4RI_M4RM_NTABLES];
word const *t[__M4RI_M4RM_NTABLES];
mzd_t *T[__M4RI_M4RM_NTABLES];
#ifdef __M4RI_HAVE_SSE2
mzd_t *Talign[__M4RI_M4RM_NTABLES];
int c_align = (__M4RI_ALIGNMENT(C->rows[0], 16) == 8);
#endif
word *c;
rci_t const a_nr = A->nrows;
rci_t const a_nc = A->ncols;
rci_t const b_nc = B->ncols;
if (b_nc < m4ri_radix-10 || a_nr < 16) {
if(clear)
return mzd_mul_naive(C, A, B);
else
return mzd_addmul_naive(C, A, B);
}
/* clear first */
if (clear) {
mzd_set_ui(C, 0);
}
const int blocksize = __M4RI_MUL_BLOCKSIZE;
if(k==0) {
/* __M4RI_CPU_L2_CACHE == 2^k * B->width * 8 * 8 */
k = (int)log2((__M4RI_CPU_L2_CACHE/64)/(double)B->width);
if ((__M4RI_CPU_L2_CACHE - 64*__M4RI_TWOPOW(k)*B->width) > (64*__M4RI_TWOPOW(k+1)*B->width - __M4RI_CPU_L2_CACHE))
k++;
rci_t const klog = round(0.75 * log2_floor(MIN(MIN(a_nr,a_nc),b_nc)));
if(klog < k)
k = klog;
if (k<2)
k=2;
else if(k>6)
k=6;
}
const wi_t wide = C->width;
const word bm = __M4RI_TWOPOW(k)-1;
rci_t *buffer = (rci_t*)m4ri_mm_malloc(__M4RI_M4RM_NTABLES * __M4RI_TWOPOW(k) * sizeof(rci_t));
for(int z=0; z<__M4RI_M4RM_NTABLES; z++) {
L[z] = buffer + z*__M4RI_TWOPOW(k);
#ifdef __M4RI_HAVE_SSE2
/* we make sure that T are aligned as C */
Talign[z] = mzd_init(__M4RI_TWOPOW(k), b_nc+m4ri_radix);
T[z] = mzd_init_window(Talign[z], 0, c_align*m4ri_radix, Talign[z]->nrows, b_nc + c_align*m4ri_radix);
#else
T[z] = mzd_init(__M4RI_TWOPOW(k), b_nc);
#endif
}
/* process stuff that fits into multiple of k first, but blockwise (babystep-giantstep)*/
int const kk = __M4RI_M4RM_NTABLES * k;
assert(kk <= m4ri_radix);
rci_t const end = a_nc / kk;
for (rci_t giantstep = 0; giantstep < a_nr; giantstep += blocksize) {
for(rci_t i = 0; i < end; ++i) {
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for schedule(static,1)
#endif
for(int z=0; z<__M4RI_M4RM_NTABLES; z++) {
mzd_make_table( B, kk*i + k*z, 0, k, T[z], L[z]);
}
const rci_t blockend = MIN(giantstep+blocksize, a_nr);
#if __M4RI_HAVE_OPENMP
#pragma omp parallel for schedule(static,512) private(x,t)
#endif
for(rci_t j = giantstep; j < blockend; j++) {
const word a = mzd_read_bits(A, j, kk*i, kk);
switch(__M4RI_M4RM_NTABLES) {
case 8: t[7] = T[ 7]->rows[ L[7][ (a >> 7*k) & bm ] ];
case 7: t[6] = T[ 6]->rows[ L[6][ (a >> 6*k) & bm ] ];
case 6: t[5] = T[ 5]->rows[ L[5][ (a >> 5*k) & bm ] ];
case 5: t[4] = T[ 4]->rows[ L[4][ (a >> 4*k) & bm ] ];
case 4: t[3] = T[ 3]->rows[ L[3][ (a >> 3*k) & bm ] ];
case 3: t[2] = T[ 2]->rows[ L[2][ (a >> 2*k) & bm ] ];
case 2: t[1] = T[ 1]->rows[ L[1][ (a >> 1*k) & bm ] ];
case 1: t[0] = T[ 0]->rows[ L[0][ (a >> 0*k) & bm ] ];
break;
default:
m4ri_die("__M4RI_M4RM_NTABLES must be <= 8 but got %d", __M4RI_M4RM_NTABLES);
}
c = C->rows[j];
switch(__M4RI_M4RM_NTABLES) {
case 8: _mzd_combine_8(c, t, wide); break;
case 7: _mzd_combine_7(c, t, wide); break;
case 6: _mzd_combine_6(c, t, wide); break;
case 5: _mzd_combine_5(c, t, wide); break;
case 4: _mzd_combine_4(c, t, wide); break;
case 3: _mzd_combine_3(c, t, wide); break;
case 2: _mzd_combine_2(c, t, wide); break;
case 1: _mzd_combine(c, t[0], wide);
break;
default:
m4ri_die("__M4RI_M4RM_NTABLES must be <= 8 but got %d", __M4RI_M4RM_NTABLES);
}
}
}
}
/* handle stuff that doesn't fit into multiple of kk */
if (a_nc%kk) {
rci_t i;
for (i = kk / k * end; i < a_nc / k; ++i) {
mzd_make_table( B, k*i, 0, k, T[0], L[0]);
for(rci_t j = 0; j < a_nr; ++j) {
x[0] = L[0][ mzd_read_bits_int(A, j, k*i, k) ];
c = C->rows[j];
t[0] = T[0]->rows[x[0]];
for(wi_t ii = 0; ii < wide; ++ii) {
c[ii] ^= t[0][ii];
}
}
}
/* handle stuff that doesn't fit into multiple of k */
if (a_nc%k) {
mzd_make_table( B, k*(a_nc/k), 0, a_nc%k, T[0], L[0]);
for(rci_t j = 0; j < a_nr; ++j) {
x[0] = L[0][ mzd_read_bits_int(A, j, k*i, a_nc%k) ];
c = C->rows[j];
t[0] = T[0]->rows[x[0]];
for(wi_t ii = 0; ii < wide; ++ii) {
c[ii] ^= t[0][ii];
}
}
}
}
for(int j=0; j<__M4RI_M4RM_NTABLES; j++) {
mzd_free(T[j]);
#ifdef __M4RI_HAVE_SSE2
mzd_free(Talign[j]);
#endif
}
m4ri_mm_free(buffer);
__M4RI_DD_MZD(C);
return C;
}
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