filename stringlengths 19 182 | omp_pragma_line stringlengths 24 416 | context_chars int64 100 100 | text stringlengths 152 177k |
|---|---|---|---|
hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c | #pragma omp parallel for private(i, row_index) HYPRE_SMP_SCHEDULE | 100 | re_IJMatrixPrintLevel(matrix);
hypre_MPI_Comm_rank(comm, &my_id);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < nrows; i++)
{
row_index = rows[i];
if (row_index >= row_partitioning[0] &&
row_index < row_partitioning[1])
{
/* compute local row number */
in... |
hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c | #pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE | 100 | offd = hypre_CSRMatrixNumNonzeros(offd);
HYPRE_Int ii;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ii = 0; ii < nnz_diag; ii++)
{
diag_data[ii] = value;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c | #pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE | 100 | r (ii = 0; ii < nnz_diag; ii++)
{
diag_data[ii] = value;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ii = 0; ii < nnz_offd; ii++)
{
offd_data[ii] = value;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(ii) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c | #pragma omp parallel for private (i,j,j0,temp) | 100 | SRMatrixJ(diag);
diag_data = hypre_CSRMatrixData(diag);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows; i++)
{
j0 = diag_i[i];
for (j = j0; j < diag_i[i + 1]; j++)
{
if (diag_j[j] == i)
{
temp ... |
hypre-space/hypre/src/IJ_mv/IJMatrix_parcsr.c | #pragma omp parallel for private(i) | 100 | +)
{
col_map_offd[i] = tmp_j[i];
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < nnz_offd; i++)
{
offd_j[i] = hypre_BigBinarySearch(col_map_offd, big_offd_j[i], num_cols_offd);
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i)<OMP-END... |
hypre-space/hypre/src/IJ_mv/IJMatrix.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | read all row indices");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
rows[i] = (HYPRE_BigInt) i32buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | read all row indices");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
rows[i] = (HYPRE_BigInt) i64buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | ad all column indices");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
cols[i] = (HYPRE_BigInt) i32buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | ad all column indices");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
cols[i] = (HYPRE_BigInt) i64buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | l matrix coefficients");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
vals[i] = (HYPRE_Complex) f32buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJMatrix.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | l matrix coefficients");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
vals[i] = (HYPRE_Complex) f64buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/HYPRE_IJMatrix.c | #pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE | 100 | pute preliminary partial sums (in parallel) within each interval */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = 0; j < nvals; j += bsize)
{
HYPRE_Int i, n = hypre_min((j + bsize), nvals);
sums[j] = 0;
for (i = j + 1; i < n; i++)
{
sums[i] = sums[i - 1] + ... |
hypre-space/hypre/src/IJ_mv/HYPRE_IJMatrix.c | #pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE | 100 | mpute final partial sums (in parallel) for the remaining entries */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = bsize; j < nvals; j += bsize)
{
HYPRE_Int i, n = hypre_min((j + bsize), nvals);
for (i = j + 1; i < n; i++)
{
sums[i] += sums[j];
}
}<LOO... |
hypre-space/hypre/src/IJ_mv/IJVector_parcsr.c | #pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE | 100 | num_values = (HYPRE_Int)(vec_stop - vec_start) + 1;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = 0; j < num_values; j++)
{
data[vecoffset + j * idxstride] = values[j];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJVector_parcsr.c | #pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE | 100 | num_values = (HYPRE_Int)(vec_stop - vec_start) + 1;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = 0; j < num_values; j++)
{
data[vecoffset + j * idxstride] += values[j];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/aux_parcsr_matrix.c | #pragma omp parallel for private(i) reduction(+:local_num_rownnz) HYPRE_SMP_SCHEDULE | 100 | ownnz;
/* Count number of nonzero rows */
local_num_rownnz = 0;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < local_num_rows; i++)
{
if (row_space[i] > 0)
{
local_num_rownnz++;
}
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) reduction(+:local_num_rownnz) H... |
hypre-space/hypre/src/IJ_mv/IJVector.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | l vector coefficients");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < total_size; i++)
{
buffer[i] = (HYPRE_Complex) f32buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/IJ_mv/IJVector.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | l vector coefficients");
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < total_size; i++)
{
buffer[i] = (HYPRE_Complex) f64buffer[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_cg.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | ectorCopy(z, p);
}
else
{
beta = rho / rhom1;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for ( i = 0; i < localNRows; i++ )
pData[i] = beta * pData[i] + zData[i];
}
hypre_ParCSRMatrixMatvec(1.0, A, p, 0.0, ap);
sigma = hypre_ParVectorInnerProd(p, ap);
alpha =... |
hypre-space/hypre/src/FEI_mv/femli/mli_amgsa_coarsen1.cxx | #pragma omp parallel for private(irow,j) HYPRE_SMP_SCHEDULE | 100 | if ( threshold_ > 0.0 )
{
diagData = new double[AdiagNRows];
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (irow = 0; irow < AdiagNRows; irow++)
{
for (j = AdiagRPtr[irow]; j < AdiagRPtr[irow+1]; j++)
{
if ( AdiagCols[j] == irow )
{
diagData[irow] ... |
hypre-space/hypre/src/FEI_mv/femli/mli_amgsa_coarsen1.cxx | #pragma omp parallel for private(irow,j,jj,index,dcomp1,dcomp2) HYPRE_SMP_SCHEDULE | 100 | }
epsilon = epsilon * epsilon;
rowLengths = new int[AdiagNRows];
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for ( irow = 0; irow < AdiagNRows; irow++ )
{
rowLengths[irow] = 0;
index = startRow + irow;
if ( localLabels != NULL ) labeli = localLabels[irow];
else labeli... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_gs.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | le);
commHandle = NULL;
}
if (nthreads > 1)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++) tmpData[i] = uData[i];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,ii,j,jj,ns,ne,res,rest,size) HYPRE_SMP_SCHEDULE
for (j = 0; j < nthreads; j++)
... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_gs.cxx | #pragma omp parallel for private(i,ii,j,jj,ns,ne,res,rest,size) HYPRE_SMP_SCHEDULE | 100 |
#endif
for (i = 0; i < localNRows; i++) tmpData[i] = uData[i];
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = 0; j < nthreads; j++)
{
size = localNRows/nthreads;
rest = localNRows - size*nthreads;
if (j < rest)
{
ns = j*size+j;
... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_jacobi.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | rData[i] = dtemp;
}
}
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for ( i = 0; i < localNRows; i++ )
uData[i] += weight * rData[i] * diagonal_[i];
zeroInitialGuess_ = 0;
}
}
else
{
if (numFpts_ != localNRows)
{
prin... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_jacobi.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | uess_ == 0 )
hypre_ParCSRMatrixMatvec(-1.0, A, u2, 1.0, r);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for ( i = 0; i < localNRows; i++ )
u2Data[i] += weight * rData[i] * diagonal_[i];
zeroInitialGuess_ = 0;
}
for (i = 0; i < numFpts_; i++) uData[FptList_[i]] = u2Data[i];
... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | {
coef = mlsCf_[0] * mlsOver_;
/* u = u + coef * Vtemp */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++) uData[i] += (coef * VtempData[i]);
/* compute residual Vtemp = A u - f */
hypre_ParVectorCopy(f,Vtemp);
hypre_ParCSRMatrixMatvec(1.0, A, u, -1.0, Vtemp);
... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | /* compute u = u - coef * Vtemp */
coef = mlsOver_ * mlsOm2_;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++) uData[i] -= ( coef * VtempData[i] );
}
else
{
/* Ytemp = coef * Vtemp */
coef = mlsCf_[0];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | }
else
{
/* Ytemp = coef * Vtemp */
coef = mlsCf_[0];
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++) YtempData[i] = (coef * VtempData[i]);
/* Wtemp = coef * Vtemp */
for ( deg = 1; deg < mlsDeg_; deg++ )
{
hypre_ParCSRMatrixMatvec(1.0, A, Vtemp, ... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | hypre_ParVectorCopy(Wtemp,Vtemp);
coef = mlsCf_[deg];
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++)
YtempData[i] += ( coef * WtempData[i] );
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
for (i = 0; i < localNRo... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | Rows; i++)
YtempData[i] += ( coef * WtempData[i] );
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++) uData[i] += (mlsOver_ * YtempData[i]);
/* compute residual Vtemp = A u - f */
hypre_ParVectorCopy(f,Vtemp);
hypre_ParCSRMatrixMatvec(1.0, A, u, -1.0, Vtem... |
hypre-space/hypre/src/FEI_mv/femli/mli_solver_mls.cxx | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | /* compute u = u - coef * Vtemp */
coef = mlsOver_ * mlsOm2_;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < localNRows; i++) uData[i] -= ( coef * VtempData[i] );
}
return(0);
}
/******************************************************************************
* set MLS parameters
*----------... |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | --------------------------------------*/
if (alpha == 0.0)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows * blk_size; i++) { y_data[i] *= beta; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | alpha;
if (temp != 1.0)
{
if (temp == 0.0)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows * blk_size; i++)
{
y_data[i] = 0.0;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | y_data[i] = 0.0;
}
}
else
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows * blk_size; i++)
{
y_data[i] *= temp;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i,jj,b1,b2,temp) HYPRE_SMP_SCHEDULE | 100 | *-----------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows; i++)
{
for (jj = A_i[i]; jj < A_i[i + 1]; jj++)
{
for (b1 = 0; b1 < blk_size; b1++)
{
temp = y_data[i * blk_size + b1];
for (... |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | --------------------------------------*/
if (alpha != 1.0)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows * blk_size; i++)
{
y_data[i] *= alpha;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | --------------------------------------*/
if (alpha == 0.0)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols * blk_size; i++)
{
y_data[i] *= beta;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | alpha;
if (temp != 1.0)
{
if (temp == 0.0)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols * blk_size; i++)
{
y_data[i] = 0.0;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | y_data[i] = 0.0;
}
}
else
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols * blk_size; i++)
{
y_data[i] *= temp;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i, jj,j, b1, b2) HYPRE_SMP_SCHEDULE | 100 | *-----------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows; i++)
{
for (jj = A_i[i]; jj < A_i[i + 1]; jj++) /*each nonzero in that row*/
{
for (b1 = 0; b1 < blk_size; b1++) /*row */
{
for (b2 = 0; ... |
hypre-space/hypre/src/parcsr_block_mv/csr_block_matvec.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | --------------------------------------*/
if (alpha != 1.0)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols * blk_size; i++)
{
y_data[i] *= alpha;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/seq_block_mv/dense_block_matmult.c | #pragma omp parallel for private(ib) HYPRE_SMP_SCHEDULE | 100 | re_DenseBlockMatrixNumNonzerosBlock(C);
HYPRE_Int ib;
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (ib = 0; ib < num_blocks; ib++)
{
HYPRE_Int i, j, k;
HYPRE_Complex *data_A = hypre_DenseBlockMatrixData(A) + ib * num_nonzeros_block_A;
HYPRE_Complex *data_B = hypre_DenseBloc... |
hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c | #pragma omp parallel for schedule(static) firstprivate(alpha, x, y) \ | 100 | _Real alpha, HYPRE_Real *x, HYPRE_Real *y)
{
START_FUNC_DH
HYPRE_Int i;
#ifdef USING_OPENMP_DH
<LOOP-START>private(i)
for (i=0; i<n; ++i) {
y[i] = alpha*x[i] + y[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(alpha, x, y) \<OMP-END> |
hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c | #pragma omp parallel for schedule(static) firstprivate(yOUT, xIN) \ | 100 | _Int n, HYPRE_Real *xIN, HYPRE_Real *yOUT)
{
START_FUNC_DH
HYPRE_Int i;
#ifdef USING_OPENMP_DH
<LOOP-START>private(i)
for (i=0; i<n; ++i) {
yOUT[i] = xIN[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(yOUT, xIN) \<OMP-END> |
hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c | #pragma omp parallel for schedule(static) firstprivate(alpha, x) \ | 100 | RE_Int n, HYPRE_Real alpha, HYPRE_Real *x)
{
START_FUNC_DH
HYPRE_Int i;
#ifdef USING_OPENMP_DH
<LOOP-START>private(i)
for (i=0; i<n; ++i) {
x[i] *= alpha;
}<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(alpha, x) \<OMP-END> |
hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c | #pragma omp parallel for schedule(static) firstprivate(x, y) \ | 100 |
{
START_FUNC_DH
HYPRE_Real result, local_result = 0.0;
HYPRE_Int i;
#ifdef USING_OPENMP_DH
<LOOP-START>private(i) \
reduction(+:local_result)
for (i=0; i<n; ++i) {
local_result += x[i] * y[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(x, y) \<OMP-... |
hypre-space/hypre/src/distributed_ls/Euclid/blas_dh.c | #pragma omp parallel for schedule(static) firstprivate(x) \ | 100 | )
{
START_FUNC_DH
HYPRE_Real result, local_result = 0.0;
HYPRE_Int i;
#ifdef USING_OPENMP_DH
<LOOP-START>private(i) \
reduction(+:local_result)
for (i=0; i<n; ++i) {
local_result += (x[i]*x[i]);
}<LOOP-END> <OMP-START>#pragma omp parallel for schedule(static) firstprivate(x) \<OMP-END> |
hypre-space/hypre/src/distributed_ls/ParaSails/Matrix.c | #pragma omp parallel for private(row,len,ind,val,temp,i) schedule(static) | 100 | l(mat->num_recv, mat->recv_req, mat->statuses);
/* do the multiply */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (row=0; row<=mat->end_row - mat->beg_row; row++)
{
MatrixGetRow(mat, row, &len, &ind, &val);
temp = 0.0;
for (i=0; i<len; i++)
{
temp = temp + val[i] * mat->recvbuf[in... |
hypre-space/hypre/src/struct_mv/boxloop_cuda.h | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | ry_location);
if (exec_policy == HYPRE_EXEC_HOST)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (HYPRE_Int idx = 0; idx < length; idx++)
{
loop_body(idx);
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/struct_mv/_hypre_struct_mv.hpp | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | ry_location);
if (exec_policy == HYPRE_EXEC_HOST)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (HYPRE_Int idx = 0; idx < length; idx++)
{
loop_body(idx);
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_mv/par_vector.c | #pragma omp parallel for private(i) reduction(+:ierr) HYPRE_SMP_SCHEDULE | 100 | * vecstride;
HYPRE_Int i, ierr = 0;
if (indices)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_values; i++)
{
HYPRE_BigInt index = indices[i] - base;
if (index < first_index || index > last_index)
{
ierr++;
}
else
... |
hypre-space/hypre/src/parcsr_mv/par_vector.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | hypre_error_in_arg(2);
return hypre_error_flag;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_values; i++)
{
values[i] = data[vecoffset + i * idxstride];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c | #pragma omp parallel for private(i, ib, j) HYPRE_SMP_SCHEDULE | 100 | g_j = hypre_CTAlloc(HYPRE_Int, num_nonzeros_diag, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows_diag; i++)
{
ib = i / num_rows_block;
A_diag_i[i] = i * num_cols_block;
for (j = A_diag_i[i]; j < (i + 1) * num_cols_block; j++)
{
A_diag_j[j] = ib... |
hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | A_diag_j = hypre_CTAlloc(HYPRE_Int, num_nonzeros, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_nonzeros; i++)
{
A_diag_i[i] = A_diag_j[i] = i;
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | i < num_nonzeros; i++)
{
A_diag_i[i] = A_diag_j[i] = i;
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = num_nonzeros; i < num_rows + 1; i++)
{
A_diag_i[i] = num_nonzeros;
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_mv/par_csr_matrix.c | #pragma omp parallel for private(ii, i, j, count) HYPRE_SMP_SCHEDULE | 100 | ze = num_rows / num_threads;
rest = num_rows - size * num_threads;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ii = 0; ii < num_threads; ii++)
{
HYPRE_Int ns, ne;
if (ii < rest)
{
ns = ii * size + ii;
ne = (ii + 1) * size + ii + 1;
}
else
{
ns = ii... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE | 100 | p_offd_C,
&col_map_offd_C_inverse);
HYPRE_Int i, j;
<LOOP-START>for (i = 0; i < num_cols_offd_A; i++)
{
for (j = B_ext_offd_i[i]; j < B_ext_offd_i[i + 1]; j++)
{
//B_ext_offd_j[j] = hypre_UnorderedIntMapGet(&col_map_offd_C_inverse, B_ext_offd_j[j])... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(ii, i, j) | 100 | ;
}
map_to_B[i] = cnt;
cnt++;
}
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ii = 0; ii < num_threads; ii++)
{
HYPRE_Int *A_marker = NULL;
HYPRE_Int ns, ne, A_col, num_cols, nmax;
if (ii < rest)
{
ns = ii * size + ii;
ne = (ii + 1) * s... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | d_jstarts = hypre_TAlloc(HYPRE_Int, num_sends + 1, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i <= num_sends; i++)
{
send_jstarts[i] = send_i_offset[hypre_ParCSRCommPkgSendMapStart(comm_pkg, i)];
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE private(i,j,k) | 100 | ts[num_sends] == num_nnz_send);
/* fill the CSR matrix: j and a */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows_send; i++)
{
HYPRE_Int i1 = send_i_offset[i];
j = hypre_ParCSRCommPkgSendMapElmt(comm_pkg, i);
/* open row j and fill ja and a to send */
for (k = A_diag_i[... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i,j,rowsum) reduction(max:maxsum) HYPRE_SMP_SCHEDULE | 100 |
maxsum = hypre_max(maxsum, maxsum_local);
}
}
#else
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_rows_diag_A; i++)
{
rowsum = 0.0;
for (j = A_diag_i[i]; j < A_diag_i[i + 1]; j++)
{
rowsum += hypre_cabs(A_diag_a[j]);
}
for (j = A_offd_i[i]; j <... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | [num_sends], HYPRE_MEMORY_HOST);
#endif
/* Pack send data */
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = send_map_starts[0]; i < send_map_starts[num_sends]; i++)
{
send_rdbuf_data[i] = rd_data[send_map_elmts[i]];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<O... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | coef;
switch (x_num_vectors)
{
case 1:
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = 0; i < num_rows; i++)
{
x_data[i] = y_data[i] / A_data[A_i[i]];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE | 100 | A_data[A_i[i]];
}
break;
case 2:
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = 0; i < num_rows; i++)
{
coef = 1.0 / A_data[A_i[i]];
x_data[i] = y_data[i] * coef;
x_data[i + x_vecstride] = y_data[i + y_vecstride] * coef;
}<L... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE | 100 | cstride] * coef;
}
break;
case 3:
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = 0; i < num_rows; i++)
{
coef = 1.0 / A_data[A_i[i]];
x_data[i] = y_data[i] * coef;
x_data[i + x_vecstride] = y_data[i + y_vecstride] * coef;
... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i, coef) HYPRE_SMP_SCHEDULE | 100 | cstride] * coef;
}
break;
case 4:
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = 0; i < num_rows; i++)
{
coef = 1.0 / A_data[A_i[i]];
x_data[i] = y_data[i] * coef;
x_data[i + x_vecstride] = y_data[i + y_vecstride] * coef;
... |
hypre-space/hypre/src/parcsr_mv/par_csr_matop.c | #pragma omp parallel for private(i, k, coef) HYPRE_SMP_SCHEDULE | 100 | stride] * coef;
}
break;
default:
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = 0; i < num_rows; i++)
{
coef = 1.0 / A_data[A_i[i]];
for (k = 0; k < x_num_vectors; k++)
{
x_data[i + k * x_vecstride] = y_data[i + k * y_... |
hypre-space/hypre/src/parcsr_mv/par_csr_matvec.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | -------------------------------------------------------------*/
#if defined(HYPRE_USING_OPENMP)
<LOOP-START>for (i = hypre_ParCSRCommPkgSendMapStart(comm_pkg, 0);
i < hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends);
i++)
{
x_buf_data[i] = x_local_data[hypre_ParCSRCommPkgSendMapElmt(com... |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols_offd; i++)
{
col_map_offd_S[i] = col_map_offd_A[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols_offd; i++)
{
col_map_offd_S[i] = col_map_offd_A[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE | 100 | S same nonzero structure as A */
hypre_ParCSRMatrixCopy(A, S, 0);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_variables; i++)
{
diag = A_diag_data[A_diag_i[i]];
/* compute scaling factor and row sum */
row_scale = 0.0;
row_sum = hypre_abs(diag);
if (num_functions ... |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | int_buf_data = hypre_TAlloc(HYPRE_BigInt, end, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (index = begin; index < end; index++)
{
big_int_buf_data[index - begin] = (HYPRE_BigInt)fine_to_coarse[send_map_elmts[index]] +
my_first_cpt;
... |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | int_buf_data = hypre_TAlloc(HYPRE_Int, end, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (index = begin; index < end; index++)
{
int_buf_data[index - begin] = CF_marker[send_map_elmts[index]];
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for private(j,k) reduction(+:num_nonzeros) HYPRE_SMP_SCHEDULE | 100 | -------------------*/
S_int_i[0] = 0;
num_nonzeros = 0;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = begin; j < end; j++)
{
HYPRE_Int jrow = send_map_elmts[j];
HYPRE_Int index = 0;
for (k = S_diag_i[jrow]; k < S_diag_i[jrow + 1]; k++)
{
if (CF_ma... |
hypre-space/hypre/src/parcsr_ls/par_strength.c | #pragma omp parallel for HYPRE_SMP_SCHEDULE | 100 | fd_C, &col_map_offd_C,
&col_map_offd_C_inverse);
<LOOP-START>for (i = 0 ; i < S_ext_offd_size; i++)
{
S_ext_offd_j[i] = hypre_UnorderedBigIntMapGet(&col_map_offd_C_inverse, S_big_offd_j[i]);
}<LOOP-END> <OMP-START>#pragma omp parallel for HYPRE_SMP... |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | variables + num_cols_offd,
HYPRE_MEMORY_HOST);
<LOOP-START>for (i = 0; i < S_offd_i[num_variables]; i++)
{
#pragma omp atomic
measure_array_temp[num_variables + S_offd_j[i]]++;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCH... |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | ++)
{
#pragma omp atomic
measure_array_temp[num_variables + S_offd_j[i]]++;
}
<LOOP-START>for (i = 0; i < num_cols_offd; i++)
{
measure_array[i + num_variables] = measure_array_temp[i + num_variables];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-EN... |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | buf_data);
}
/* calculate the local part for the local nodes */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < S_diag_i[num_variables]; i++)
{
#pragma omp atomic
measure_array_temp[S_diag_j[i]]++;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | um_variables]; i++)
{
#pragma omp atomic
measure_array_temp[S_diag_j[i]]++;
}
<LOOP-START>for (i = 0; i < num_variables; i++)
{
measure_array[i] = measure_array_temp[i];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE | 100 | fd, graph_offd_size, CF_marker, CF_marker_offd);
*/
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
if (measure_array[i] > 1)
{
CF_marker[i] = 1;
}
}<LOOP-END> <OMP-STA... |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(ig, i) HYPRE_SMP_SCHEDULE | 100 | {
CF_marker[i] = 1;
}
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ig = 0; ig < graph_offd_size; ig++)
{
i = graph_array_offd[ig];
if (measure_array[i + num_variables] > 1)
{
CF_marker_offd[i] = 1;
... |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(ig, i, jS, j, jj) HYPRE_SMP_SCHEDULE | 100 | *-------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
if (measure_array[i] > 1)
{
/* for each local neighbor j of i */
for (jS ... |
hypre-space/hypre/src/parcsr_ls/par_coarsen.c | #pragma omp parallel for private(ig, i, jS, j) HYPRE_SMP_SCHEDULE | 100 | d F-pts.
*------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (ig = 0; ig < graph_size; ig++)
{
i = graph_array[ig];
/*---------------------------------------------
* If the measure of i is smaller than 1, then
* make i a... |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) reduction(+:n_coarse,n_SF) HYPRE_SMP_SCHEDULE | 100 | (HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
n_coarse = 0;
n_SF = 0;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] == 1)
{
n_coarse++;
}
else if (CF_marker[i] == -3)
{
n_SF++;
}
}<LOOP-END> <OMP-START>#pragma omp pa... |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) reduction(+:n_coarse_offd) HYPRE_SMP_SCHEDULE | 100 | CSRCommHandleDestroy(comm_handle);
}
}
n_coarse_offd = 0;
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols_offd; i++)
if (CF_marker_offd[i] == 1) { n_coarse_offd++; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) reduction(+:n_coarse_offd) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | c(HYPRE_Int, send_map_start[num_sends], HYPRE_MEMORY_HOST);
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_cols_offd + 1; i++)
{ Pext_i[i] = 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | for (i = 0; i < num_cols_offd + 1; i++)
{ Pext_i[i] = 0; }
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < send_map_start[num_sends]; i++)
{ P_ncols[i] = 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(j,j1) reduction(+:Pext_send_size) HYPRE_SMP_SCHEDULE | 100 | [0] = 0;
for (i = 0; i < num_sends; i++)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = send_map_start[i]; j < send_map_start[i + 1]; j++)
{
j1 = send_map_elmt[j];
if (assigned[j1] == pass - 1)
{
P_ncols[j] = P_d... |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i,i1) HYPRE_SMP_SCHEDULE | 100 | i[i + 1] += P_offd_i[i];
}
/* determine P for coarse points */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < n_coarse; i++)
{
i1 = C_array[i];
P_diag_j[P_diag_i[i1]] = fine_to_coarse[i1];
P_diag_data[P_diag_i[i1]] = 1.0;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(... |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | ffd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); }
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < new_num_cols_offd; i++)
{ P_marker_offd[i] = 0; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | oc(HYPRE_BigInt, new_counter[num_passes - 1], HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < new_counter[num_passes - 1]; i++)
{
big_permute[i] = -1;
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i,big_k1) HYPRE_SMP_SCHEDULE | 100 | }
hypre_BigQsort0(col_map_offd_P, 0, num_cols_offd_P - 1);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < new_counter[num_passes - 1]; i++)
{
big_k1 = big_permute[i];
if (big_k1 != -1)
{
permute[i] = hypre_BigBinarySearch(col_map_offd_P, big_k1, num_col... |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | earch(col_map_offd_P, big_k1, num_cols_offd_P);
}
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < P_offd_size; i++)
{ P_offd_j[i] = permute[P_offd_j[i]]; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_multi_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | CSRMatrixNumCols(P_offd) = num_cols_offd_P;
}
if (n_SF)
{
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < n_fine; i++)
if (CF_marker[i] == -3) { CF_marker[i] = -1; }<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_lr_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | er_offd, fine_to_coarse_offd);
}
hypre_MatvecCommPkgCreate(P);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] == -3)
{
CF_marker[i] = -1;
}
}<LOOP-END> <OMP-START>#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/ams.c | #pragma omp parallel for private(i,ii,j,k,ns,ne,rest,size,diag,cf_diag) HYPRE_SMP_SCHEDULE | 100 | omm_handle);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
}
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (k = 0; k < num_threads; k++)
{
size = num_rows / num_threads;
rest = num_rows - size * num_threads;
if (k < rest)
{
ns = k * size + k;
ne = (k + 1) * size + k... |
hypre-space/hypre/src/parcsr_ls/par_relax_more.c | #pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE | 100 | beta = gamma / gamma_old;
/* p = s + beta p */
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (j = 0; j < local_size; j++)
{
p_data[j] = s_data[j] + beta * p_data[j];
}<LOOP-END> <OMP-START>#pragma omp parallel for private(j) HYPRE_SMP_SCHEDULE<OMP-END> |
hypre-space/hypre/src/parcsr_ls/par_nongalerkin.c | #pragma omp parallel for private(i,diag,row_scale,row_sum,jA) HYPRE_SMP_SCHEDULE | 100 | S same nonzero structure as A */
hypre_ParCSRMatrixCopy(A, S, 1);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < num_variables; i++)
{
diag = A_diag_data[A_diag_i[i]];
/* compute scaling factor and row sum */
row_scale = 0.0;
row_sum = diag;
if (num_functions > 1)
... |
hypre-space/hypre/src/parcsr_ls/par_nongalerkin.c | #pragma omp parallel for private(i,j,max_entry,max_entry_offd,global_col,global_row) HYPRE_SMP_SCHEDULE | 100 | drop-tolerance to compute new entries for sparsity pattern
*/
/*#ifdef HYPRE_USING_OPENMP
<LOOP-START>*/
for (i = 0; i < num_variables; i++)
{
global_row = i + first_col_diag_RAP;
/* Compute the drop tolerance for this row, which is just
* abs(max of row i)*droptol */
max_ent... |
hypre-space/hypre/src/parcsr_ls/par_mod_lr_interp.c | #pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE | 100 | }
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
<LOOP-START>for (i = 0; i < P_offd_size; i++)
{
P_offd_j[i] = hypre_BinarySearch(map, P_offd_j[i],
new_ncols_P_offd);
}<LOOP-END> <OMP-START>#pra... |
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