KOKKOS_INLINE_FUNCTION
int
Gemm<Trans::ConjTranspose,Trans::NoTranspose,
AlgoGemm::SparseSparseUnblocked,Variant::One>
::invoke(PolicyType &policy,
MemberType &member,
const ScalarType alpha,
CrsExecViewTypeA &A,
CrsExecViewTypeB &B,
const ScalarType beta,
CrsExecViewTypeC &C) {
typedef typename CrsExecViewTypeA::ordinal_type ordinal_type;
typedef typename CrsExecViewTypeA::value_type value_type;
typedef typename CrsExecViewTypeA::row_view_type row_view_type;
// scale the matrix C with beta
ScaleCrsMatrix::invoke(policy, member,
beta, C);
// C(i,j) += alpha*A'(i,k)*B(k,j)
const ordinal_type mA = A.NumRows();
for (ordinal_type k=0;k<mA;++k) {
row_view_type &a = A.RowView(k);
const ordinal_type nnz_a = a.NumNonZeros();
row_view_type &b = B.RowView(k);
const ordinal_type nnz_b = b.NumNonZeros();
if (nnz_a > 0 && nnz_b) {
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 0, nnz_a),
[&](const ordinal_type i) {
const ordinal_type row_at_i = a.Col(i);
const value_type val_at_ik = Util::conj(a.Value(i));
row_view_type &c = C.RowView(row_at_i);
ordinal_type idx = 0;
for (ordinal_type j=0;j<nnz_b && (idx > -2);++j) {
const ordinal_type col_at_j = b.Col(j);
const value_type val_at_kj = b.Value(j);
idx = c.Index(col_at_j, idx);
if (idx >= 0)
c.Value(idx) += alpha*val_at_ik*val_at_kj;
}
});
member.team_barrier();
}
}
return 0;
}
KOKKOS_INLINE_FUNCTION
int
Chol<Uplo::Upper,
AlgoChol::Unblocked,Variant::One>
::invoke(PolicyType &policy,
const MemberType &member,
CrsExecViewTypeA &A) {
typedef typename CrsExecViewTypeA::value_type value_type;
typedef typename CrsExecViewTypeA::ordinal_type ordinal_type;
typedef typename CrsExecViewTypeA::row_view_type row_view_type;
// row_view_type r1t, r2t;
for (ordinal_type k=0;k<A.NumRows();++k) {
//r1t.setView(A, k);
row_view_type &r1t = A.RowView(k);
// extract diagonal from alpha11
value_type &alpha = r1t.Value(0);
if (member.team_rank() == 0) {
// if encounter null diag or wrong index, return -(row + 1)
TACHO_TEST_FOR_ABORT( r1t.Col(0) != k, "Chol::Unblocked:: Diagonal does not exist");
if (Util::real(alpha) <= 0.0) {
// warning message
fprintf(stderr, " diagonal = %f, local col = %d, global col = %d\n",
Util::real(alpha), k, r1t.OffsetCols() + k);
// proceed with epsilon; for incomplete factorization, Cholesky factor may not exit
alpha = 1.0e-8;
//TACHO_TEST_FOR_ABORT( true, "Chol::Unblocked:: Diagonal is negative");
//return -(k + 1);
}
// error handling should be more carefully designed
// sqrt on diag
alpha = sqrt(Util::real(alpha));
}
member.team_barrier();
const ordinal_type nnz_r1t = r1t.NumNonZeros();
if (nnz_r1t) {
// inverse scale
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 1, nnz_r1t),
[&](const ordinal_type j) {
r1t.Value(j) /= alpha;
});
member.team_barrier();
// hermitian rank update
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 1, nnz_r1t),
[&](const ordinal_type i) {
const ordinal_type row_at_i = r1t.Col(i);
const value_type val_at_i = Util::conj(r1t.Value(i));
//r2t.setView(A, row_at_i);
row_view_type &r2t = A.RowView(row_at_i);
ordinal_type idx = 0;
for (ordinal_type j=i;j<nnz_r1t && (idx > -2);++j) {
const ordinal_type col_at_j = r1t.Col(j);
idx = r2t.Index(col_at_j, idx);
if (idx >= 0) {
const value_type val_at_j = r1t.Value(j);
r2t.Value(idx) -= val_at_i*val_at_j;
}
}
});
}
}
return 0;
}
KOKKOS_INLINE_FUNCTION
int
Gemm<Trans::ConjTranspose,Trans::NoTranspose,
AlgoGemm::InternalBlas,Variant::One>
::invoke(PolicyType &policy,
MemberType &member,
const ScalarType alpha,
DenseExecViewTypeA &A,
DenseExecViewTypeB &B,
const ScalarType beta,
DenseExecViewTypeC &C) {
// static_assert( Kokkos::Impl::is_same<
// typename DenseMatrixTypeA::space_type,
// Kokkos::Cuda
// >::value,
// "Cuda space is not available for calling external BLAS" );
// static_assert( Kokkos::Impl::is_same<
// typename DenseMatrixTypeA::space_type,
// typename DenseMatrixTypeB::space_type
// >::value &&
// Kokkos::Impl::is_same<
// typename DenseMatrixTypeB::space_type,
// typename DenseMatrixTypeC::space_type
// >::value,
// "Space type of input matrices does not match" );
//typedef typename DenseExecViewTypeA::space_type space_type;
typedef typename DenseExecViewTypeA::ordinal_type ordinal_type;
typedef typename DenseExecViewTypeA::value_type value_type;
if (member.team_rank() == 0) {
const ordinal_type m = C.NumRows();
const ordinal_type n = C.NumCols();
const ordinal_type k = B.NumRows();
// for now simple implementation
if (m == 0 || n == 0 || ((alpha == 0 || k == 0) && (beta == 1))) return 0;
if (alpha == 0) {
if (beta == 0) {
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 0, n),
[&](const ordinal_type j) {
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = 0.0;
});
} else {
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 0, n),
[&](const ordinal_type j) {
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = beta*C.Value(i, j);
});
}
} else {
// scale beta
if (beta == 0.0)
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 0, n),
[&](const ordinal_type j) {
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = 0.0;
});
else if (beta != 1.0)
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 0, n),
[&](const ordinal_type j) {
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = beta*C.Value(i, j);
});
// gemm
for (ordinal_type l=0;l<k;++l) {
Kokkos::parallel_for(Kokkos::TeamThreadRange(member, 0, n),
[&](const ordinal_type j) {
const value_type tmp = B.Value(l, j);
//#pragma unroll
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) += A.Value(l, i)*tmp;
});
member.team_barrier();
}
}
}
return 0;
}
