Tpetra_Details_allReduceView.hpp

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#ifndef TPETRA_DETAILS_ALLREDUCEVIEW_HPP
#define TPETRA_DETAILS_ALLREDUCEVIEW_HPP

#include "Tpetra_Details_Behavior.hpp"
#include "Tpetra_Details_isInterComm.hpp"
#include "Kokkos_Core.hpp"
#include "Teuchos_CommHelpers.hpp"
#include <limits>
#include <type_traits>


namespace { // (anonymous)

// We can't assume C++14 yet, so we can't have templated constants.
template<class ViewType>
struct view_is_cuda_uvm {
  static constexpr bool value =
#ifdef KOKKOS_ENABLE_CUDA
    std::is_same<typename ViewType::memory_space,
                 Kokkos::CudaUVMSpace>::value;
#else
    false;
#endif // KOKKOS_ENABLE_CUDA
};

template<class ViewType>
struct MakeContiguousBuffer {
  static constexpr bool is_contiguous_layout =
    std::is_same<
      typename ViewType::array_layout,
      Kokkos::LayoutLeft>::value ||
    std::is_same<
      typename ViewType::array_layout,
      Kokkos::LayoutRight>::value;
  using contiguous_array_layout =
    typename std::conditional<is_contiguous_layout,
                              typename ViewType::array_layout,
                              Kokkos::LayoutLeft>::type;
  using contiguous_device_type =
    typename std::conditional<
      std::is_same<
        typename ViewType::memory_space,
        Kokkos::HostSpace>::value,
      typename ViewType::device_type,
      Kokkos::HostSpace::device_type>::type;
  using contiguous_buffer_type =
    Kokkos::View<typename ViewType::non_const_data_type,
                 contiguous_array_layout,
                 contiguous_device_type>;

  static contiguous_array_layout
  makeLayout (const ViewType& view)
  {
    // NOTE (mfh 17 Mar 2019) This would be a good chance to use if
    // constexpr, once we have C++17.
    return contiguous_array_layout (view.extent (0), view.extent (1),
                                    view.extent (2), view.extent (3),
                                    view.extent (4), view.extent (5),
                                    view.extent (6), view.extent (7));
  }

  static contiguous_buffer_type
  make (const ViewType& view)
  {
    using Kokkos::view_alloc;
    using Kokkos::WithoutInitializing;
    return contiguous_buffer_type
      (view_alloc (view.label (), WithoutInitializing),
       makeLayout (view));
  }
};

template<class ViewType>
typename MakeContiguousBuffer<ViewType>::contiguous_buffer_type
makeContiguousBuffer (const ViewType& view)
{
  return MakeContiguousBuffer<ViewType>::make (view);
}

template<class ValueType>
static void
allReduceRawContiguous (ValueType output[],
                        const ValueType input[],
                        const size_t count,
                        const Teuchos::Comm<int>& comm)
{
  using Teuchos::outArg;
  using Teuchos::REDUCE_SUM;
  using Teuchos::reduceAll;
  constexpr size_t max_int = size_t (std::numeric_limits<int>::max ());
  TEUCHOS_ASSERT( count <= size_t (max_int) );
  reduceAll<int, ValueType> (comm, REDUCE_SUM, static_cast<int> (count),
                             input, output);
}

} // namespace (anonymous)

namespace Tpetra {
namespace Details {

template<class InputViewType, class OutputViewType>
static void
allReduceView (const OutputViewType& output,
               const InputViewType& input,
               const Teuchos::Comm<int>& comm)
{
  // If all the right conditions hold, we may all-reduce directly from
  // the input to the output.  Here are the relevant conditions:
  //
  // - assumeMpiCanAccessBuffers: May we safely assume that MPI may
  //   read from the input View and write to the output View?  (Just
  //   because MPI _can_, doesn't mean that doing so will be faster.)
  // - Do input and output Views alias each other, and is the
  //   communicator an intercommunicator?  (Intercommunicators do not
  //   permit collectives to alias input and output buffers.)
  // - Is either View noncontiguous?
  //
  // If either View is noncontiguous, we could use MPI_Type_Vector to
  // create a noncontiguous MPI_Datatype, instead of packing and
  // unpacking to resp. from a contiguous temporary buffer.  Since
  // MPI_Allreduce requires that the input and output buffers both
  // have the same MPI_Datatype, this optimization might only work if
  // the MPI communicator is an intercommunicator.  Furthermore,
  // creating an MPI_Datatype instance may require memory allocation
  // anyway.  Thus, it's probably better just to use a temporary
  // contiguous buffer.  We use a host buffer for that, since device
  // buffers are slow to allocate.

  const bool viewsAlias = output.data () == input.data ();
  if (comm.getSize () == 1) {
    if (! viewsAlias) {
      // InputViewType and OutputViewType can't be AnonymousSpace
      // Views, because deep_copy needs to know their memory spaces.
      Kokkos::deep_copy (output, input);
    }
    return;
  }

  // We've had some experience that some MPI implementations do not
  // perform well with UVM allocations.
  const bool assumeMpiCanAccessBuffers =
    ! view_is_cuda_uvm<OutputViewType>::value &&
    ! view_is_cuda_uvm<InputViewType>::value &&
    ::Tpetra::Details::Behavior::assumeMpiIsCudaAware ();

  const bool needContiguousTemporaryBuffers =
    ! assumeMpiCanAccessBuffers ||
    ::Tpetra::Details::isInterComm (comm) ||
    output.span_is_contiguous () || input.span_is_contiguous ();
  if (needContiguousTemporaryBuffers) {
    auto output_tmp = makeContiguousBuffer (output);
    auto input_tmp = makeContiguousBuffer (input);
    Kokkos::deep_copy (input_tmp, input);
    // It's OK if LayoutLeft allocations have padding at the end of
    // each row.  MPI might write to those padding bytes, but it's
    // undefined behavior for users to use Kokkos to access whatever
    // bytes are there, and the bytes there don't need to define valid
    // ValueType instances.
    allReduceRawContiguous (output_tmp.data (), input_tmp.data (),
                            output_tmp.span (), comm);
    Kokkos::deep_copy (output, output_tmp);
  }
  else {
    allReduceRawContiguous (output.data (), input.data (),
                            output.span (), comm);
  }
}

} // namespace Details
} // namespace Tpetra

#endif // TPETRA_DETAILS_ALLREDUCEVIEW_HPP