/usr/include/trilinos/TbbTsqr_UnCacheBlockTask.hpp is in libtrilinos-tpetra-dev 12.4.2-2.
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// Kokkos: Node API and Parallel Node Kernels
// Copyright (2008) Sandia Corporation
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#ifndef __TSQR_TBB_UnCacheBlockTask_hpp
#define __TSQR_TBB_UnCacheBlockTask_hpp
#include <tbb/task.h>
#include <TbbTsqr_Partitioner.hpp>
#include <Tsqr_SequentialTsqr.hpp>
////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////
namespace TSQR {
namespace TBB {
/// \class UnCacheBlockTask
/// \brief TBB task for recursive TSQR un-(cache blocking) phase.
///
/// "Un-(cache blocking)" here means copying the input matrix,
/// which is stored with contiguous cache blocks, to the output
/// matrix, which is stored with noncontiguous cache blocks.
///
template<class LocalOrdinal, class Scalar>
class UnCacheBlockTask : public tbb::task {
public:
typedef MatView< LocalOrdinal, Scalar > mat_view_type;
typedef ConstMatView< LocalOrdinal, Scalar > const_mat_view_type;
typedef std::pair< mat_view_type, mat_view_type > split_t;
typedef std::pair< const_mat_view_type, const_mat_view_type > const_split_t;
UnCacheBlockTask (const size_t P_first__,
const size_t P_last__,
mat_view_type& A_out,
const_mat_view_type& A_in,
const SequentialTsqr<LocalOrdinal, Scalar>& seq) :
P_first_ (P_first__),
P_last_ (P_last__),
A_out_ (A_out),
A_in_ (A_in),
seq_ (seq)
{}
tbb::task* execute ()
{
using tbb::task;
if (P_first_ > P_last_ || A_out_.empty() || A_in_.empty())
return NULL;
else if (P_first_ == P_last_)
{
execute_base_case ();
return NULL;
}
else
{
// Recurse on two intervals: [P_first, P_mid] and
// [P_mid+1, P_last].
const size_t P_mid = (P_first_ + P_last_) / 2;
split_t out_split =
partitioner_.split (A_out_, P_first_, P_mid, P_last_, false);
const_split_t in_split =
partitioner_.split (A_in_, P_first_, P_mid, P_last_, true);
// The partitioner may decide that the current blocks
// A_out_ and A_in_ have too few rows to be worth
// splitting. (It should split both A_out_ and A_in_ in
// the same way.) In that case, out_split.second and
// in_split.second (the bottom block) will be empty. We
// can deal with this by treating it as the base case.
if (out_split.second.empty() || out_split.second.nrows() == 0)
{
execute_base_case ();
return NULL;
}
// "c": continuation task
tbb::empty_task& c =
*new( allocate_continuation() ) tbb::empty_task;
// Recurse on the split
UnCacheBlockTask& topTask = *new( c.allocate_child() )
UnCacheBlockTask (P_first_, P_mid, out_split.first,
in_split.first, seq_);
UnCacheBlockTask& botTask = *new( c.allocate_child() )
UnCacheBlockTask (P_mid+1, P_last_, out_split.second,
in_split.second, seq_);
// Set reference count of parent (in this case, the
// continuation task) to 2 (since 2 children -- no
// additional task since no waiting).
c.set_ref_count (2);
c.spawn (botTask);
return &topTask; // scheduler bypass optimization
}
}
private:
size_t P_first_, P_last_;
mat_view_type A_out_;
const_mat_view_type A_in_;
SequentialTsqr<LocalOrdinal, Scalar> seq_;
Partitioner<LocalOrdinal, Scalar> partitioner_;
void
execute_base_case ()
{
seq_.un_cache_block (A_out_.nrows(), A_out_.ncols(),
A_out_.get(), A_out_.lda(), A_in_.get());
}
};
} // namespace TBB
} // namespace TSQR
#endif // __TSQR_TBB_UnCacheBlockTask_hpp
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