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
Gemm<Trans::ConjTranspose,Trans::NoTranspose,
AlgoGemm::ForFactorBlocked>
::invoke(typename CrsExecViewTypeA::policy_type &policy,
const typename CrsExecViewTypeA::policy_type::member_type &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;
typedef typename CrsExecViewTypeA::team_factory_type team_factory_type;
// scale the matrix C with beta
scaleCrsMatrix<ParallelForType>(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) {
ParallelForType(team_factory_type::createThreadLoopRegion(member, 0, nnz_a),
[&](const ordinal_type i) {
const ordinal_type row_at_i = a.Col(i);
const value_type val_at_ik = 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;
}