KOKKOS_INLINE_FUNCTION
int
Gemm<Trans::ConjTranspose,Trans::NoTranspose,
AlgoGemm::ExternalBlas,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,
// 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" );
if (member.team_rank() == 0) {
#if \
defined( HAVE_SHYLUTACHO_TEUCHOS ) && \
defined( KOKKOS_ACTIVE_EXECUTION_MEMORY_SPACE_HOST )
typedef typename DenseExecViewTypeA::ordinal_type ordinal_type;
typedef typename DenseExecViewTypeA::value_type value_type;
Teuchos::BLAS<ordinal_type,value_type> blas;
const ordinal_type m = C.NumRows();
const ordinal_type n = C.NumCols();
const ordinal_type k = B.NumRows();
if (m > 0 && n > 0 && k > 0)
blas.GEMM(Teuchos::CONJ_TRANS, Teuchos::NO_TRANS,
m, n, k,
alpha,
A.ValuePtr(), A.BaseObject().ColStride(),
B.ValuePtr(), B.BaseObject().ColStride(),
beta,
C.ValuePtr(), C.BaseObject().ColStride());
#else
TACHO_TEST_FOR_ABORT( true, MSG_NOT_HAVE_PACKAGE("Teuchos") );
#endif
}
return 0;
}
inline
Stat
Gemm<Trans::ConjTranspose,Trans::NoTranspose,
AlgoGemm::ExternalBlas,Variant::One>
::stat(const ScalarType alpha,
DenseExecViewTypeA &A,
DenseExecViewTypeB &B,
const ScalarType beta,
DenseExecViewTypeC &C) {
Stat r_val;
const ordinal_type m = C.NumRows();
const ordinal_type n = C.NumCols();
const ordinal_type k = B.NumRows();
r_val.flop = DenseFlopCount<typename DenseExecViewTypeA::value_type>::Gemm(m, n, k);
return r_val;
}
KOKKOS_INLINE_FUNCTION
int
Gemm<Trans::ConjTranspose,Trans::NoTranspose,
AlgoGemm::ForTriSolveBlocked>
::invoke(typename CrsExecViewTypeA::policy_type &policy,
const typename CrsExecViewTypeA::policy_type::member_type &member,
const ScalarType alpha,
CrsExecViewTypeA &A,
DenseExecViewTypeB &B,
const ScalarType beta,
DenseExecViewTypeC &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
scaleDenseMatrix<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();
const ordinal_type nB = B.NumCols();
if (nnz_a > 0 && nB > 0) {
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));
for (ordinal_type j=0;j<nB;++j) {
const value_type val_at_kj = B.Value(k, j);
C.Value(row_at_i, j) += alpha*val_at_ik*val_at_kj;
}
});
member.team_barrier();
}
}
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;
}
KOKKOS_INLINE_FUNCTION
int
Gemm<Trans::NoTranspose,Trans::NoTranspose,
AlgoGemm::InternalBlas,Variant::One>
::invoke(PolicyType &policy,
MemberType &member,
const ScalarType alpha,
DenseExecViewTypeA &A,
DenseExecViewTypeB &B,
const ScalarType beta,
DenseExecViewTypeC &C) {
typedef typename DenseExecViewTypeA::ordinal_type ordinal_type;
typedef typename DenseExecViewTypeA::value_type value_type;
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;
// C = beta C + alpha AB
if (member.team_rank() == 0) {
if (alpha == 0) {
if (beta == 0) {
for (ordinal_type j=0;j<n;++j)
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = 0.0;
} else {
for (ordinal_type j=0;j<n;++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)
for (ordinal_type j=0;j<n;++j)
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = 0.0;
else if (beta != 1.0)
for (ordinal_type j=0;j<n;++j)
for (ordinal_type i=0;i<m;++i)
C.Value(i, j) = beta*C.Value(i, j);
// gemm blocked
{
constexpr ordinal_type mc = 128, nr = 128, kc = 32, nnr = 16;
{
// block update
const ordinal_type mm = m/mc, nn = n/nr, kk = k/kc;
for (ordinal_type l=0;l<kk;++l)
for (ordinal_type i=0;i<mm;++i)
for (ordinal_type j=0;j<nn;++j) {
const ordinal_type loff = l*kc, moff = i*mc, noff = j*nr;
// GEBP : C_ij += A_il B_lj;
{
constexpr ordinal_type np = (nr/nnr);
for (ordinal_type p=0;p<np;++p) {
const ordinal_type poff = p*nnr;
for (ordinal_type ll=0;ll<kc;++ll)
for (ordinal_type ii=0;ii<mc;++ii)
for (ordinal_type jj=0;jj<nnr;++jj)
C.Value(ii+moff, jj+noff+poff)
+= A.Value(ii+moff, ll+loff)*B.Value(ll+loff, jj+noff+poff);
}
}
}
}
{
// remainder
const ordinal_type lbegin = (k - k%kc), ibegin = (m - m%mc), jbegin = (n - n%nr);
for (ordinal_type l=lbegin;l<k;++l)
for (ordinal_type i=ibegin;i<m;++i)
for (ordinal_type j=jbegin;j<n;++j)
C.Value(i, j) += A.Value(i, l)*B.Value(l, j);
}
}
}
}
return 0;
}
