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// ***********************************************************************
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// Tpetra: Templated Linear Algebra Services Package
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// @HEADER
#ifndef TPETRA_DISTOBJECT_DECL_HPP
#define TPETRA_DISTOBJECT_DECL_HPP
/// \file Tpetra_DistObject_decl.hpp
/// \brief Declaration of the Tpetra::DistObject class
///
/// If you want to use Tpetra::DistObject, include
/// "Tpetra_DistObject.hpp" (a file which CMake generates and installs
/// for you). If you only want the declaration of Tpetra::DistObject,
/// include this file (Tpetra_DistObject_decl.hpp).
#include "Tpetra_Map.hpp"
#include "Tpetra_Import.hpp"
#include "Tpetra_Export.hpp"
#include "Tpetra_SrcDistObject.hpp"
#include "Kokkos_NodeAPIConfigDefs.hpp" // enum KokkosClassic::ReadWriteOption
#include "Kokkos_ArithTraits.hpp"
// #ifndef HAVE_TPETRA_TRANSFER_TIMERS
// # define HAVE_TPETRA_TRANSFER_TIMERS 1
// #endif // HAVE_TPETRA_TRANSFER_TIMERS
#ifdef HAVE_TPETRA_TRANSFER_TIMERS
# undef HAVE_TPETRA_TRANSFER_TIMERS
#endif // HAVE_TPETRA_TRANSFER_TIMERS
namespace Tpetra {
/// \class DistObject
/// \brief Base class for distributed Tpetra objects that support
/// data redistribution.
///
/// DistObject is a base class for all Tpetra distributed global
/// objects, including CrsGraph, CrsMatrix, MultiVector, and Vector.
/// Classes that inherit from DistObject work as either the source
/// or the target of an Export or Import (parallel redistribution)
/// operation. If you want to write a class that can work as the
/// source or target of an Export or Import operation, that class
/// must inherit from DistObject.
///
/// \tparam LocalOrdinal The type of local indices. Same as Map's
/// \c LocalOrdinal template parameter. See Map's documentation
/// for a discussion of the types that are valid to use here.
///
/// \tparam GlobalOrdinal The type of global indices. Same as Map's
/// \c GlobalOrdinal template parameter. See Map's documentation
/// for a discussion of the types that are valid to use here.
///
/// \tparam Node Same as Map's \c Node template parameter. See
/// Map's documentation for a discussion of the types that are
/// valid to use here.
///
/// \tparam classic DO NOT SET THIS EXPLICITLY. This template
/// parameter only exists for backwards compatibility. It must
/// always be false.
///
/// \section Tpetra_DistObject_Summary Summary
///
/// Most Tpetra users will only use this class' methods to perform
/// data redistribution for subclasses such as CrsGraph, CrsMatrix,
/// MultiVector, and Vector. DistObject provides four methods for
/// redistributing data: two versions of <tt>doImport()</tt>, and
/// two versions of <tt>doExport()</tt>. Import operations
/// redistribute data from a nonoverlapping (one-to-one)
/// distribution to a possibly overlapping distribution. Export
/// operations redistribute data from a possibly overlapping
/// distribution to a nonoverlapping (one-to-one) distribution.
/// Once you have precomputed a data redistribution plan (an Import
/// or Export object), you may use the plan to redistribute an input
/// object's data into this object, by calling one of these methods.
/// The input object of <tt>doImport()</tt> or <tt>doExport()</tt>
/// is always the "source" of the redistribution operation, which
/// sends the data. The <tt>*this</tt> object is the target, which
/// receives and combines the data. It has the distribution given
/// by <tt>this->getMap()</tt>.
///
/// \section Tpetra_DistObject_FwdRev Forward or reverse redistribution modes
///
/// Both Import and Export operations occur in two modes: forward
/// and reverse. Forward mode is the usual case, where you are
/// calling a method with its matching plan type
/// (<tt>doImport()</tt> for an Import plan, or <tt>doExport()</tt>
/// for an Export plan). In that case, the input DistObject must
/// have the same Map as the source Map of the plan, and the target
/// DistObject must have the same Map as the target Map of the plan.
/// Reverse mode is also possible, where you call a method with the
/// opposite plan type (<tt>doImport()</tt> for an Export plan, or
/// <tt>doExport()</tt> for an Import plan). In that case, the
/// source DistObject's Map must be the same as the target Map of
/// the plan, and the target DistObject's Map must be the same as
/// the source Map of the plan. If you call <tt>doImport()</tt>, we
/// still call this an Import operation, even if you are using an
/// Export plan in reverse. Similarly, if you call
/// <tt>doExport()</tt>, we call this an Export operation.
///
/// Most users will want to use forward mode. However, reverse mode
/// is useful for some applications. For example, suppose you are
/// solving a nonlinear partial differential equation using the
/// finite element method, with Newton's method for the nonlinear
/// equation. When assembling into a vector, it is convenient and
/// efficient to do local assembly first into a vector with an
/// overlapping distribution, then do global assembly via forward
/// mode Export into a vector with a nonoverlapping distribution.
/// After the linear solve, you may want to bring the resulting
/// nonoverlapping distribution vector back to the overlapping
/// distribution for another update phase. This would be a reverse
/// mode Import, using the precomputed Export object.
///
/// Another use case for reverse mode is in CrsMatrix, for the
/// transpose version of distributed sparse matrix-vector multiply
/// ("mat-vec"). Non-transpose mat-vec (a function from the domain
/// Map to the range Map) does an Import to bring in the source
/// vector's data from the domain Map to the column Map of the
/// sparse matrix, and an Export (if necessary) to bring the results
/// from the row Map of the sparse matrix to the range Map.
/// Transpose mat-vec (a function from the range Map to the domain
/// Map) uses these precomputed Import and Export objects in reverse
/// mode: first the Export in reverse mode to Import the source
/// vector's data to the row Map, and then the Import in reverse
/// mode to Export the results to the domain Map. Reverse mode lets
/// us reuse the precomputed data redistribution plans for the
/// transpose case.
///
/// \section Tpetra_DistObject_ImplSubclass How to implement a subclass
///
/// If you want to implement your own DistObject subclass, you have
/// two choices of interface to implement: "old" (using Teuchos
/// memory management classes, like Teuchos::ArrayRCP and
/// Teuchos::ArrayView) or "new" (using Kokkos memory management
/// classes, like Kokkos::View and Kokkos::DualView). Prefer new to
/// old. The new interface gives you more options for thread
/// parallelism and use of the GPU.
///
/// If you intend to implement the new interface, you must override
/// useNewInterface() to return \c true. In that case, your class
/// must override the following methods:
/// <ul>
/// <li> constantNumberOfPackets() </li>
/// <li> checkSizes() </li>
/// <li> copyAndPermuteNew() </li>
/// <li> packAndPrepareNew() </li>
/// <li> unpackAndCombineNew() </li>
/// </ul>
/// Comments in the implementation of doTransferNew() explain how
/// DistObject uses these methods to pack and unpack data for
/// redistribution.
///
/// If you choose to implement the old interface (not recommended),
/// you should override the following methods instead:
/// <ul>
/// <li> constantNumberOfPackets() </li>
/// <li> checkSizes() </li>
/// <li> copyAndPermute() </li>
/// <li> packAndPrepare() </li>
/// <li> unpackAndCombine() </li>
/// </ul>
/// In this case, you may also wish to implement createViews(),
/// createViewsNonConst(), and releaseViews(). Comments in the
/// implementation of doTransfer() explain how DistObject uses all
/// these methods to pack and unpack data for redistribution.
///
/// DistObject implements SrcDistObject, because we presume that if
/// an object can be the target of an Import or Export, it can also
/// be the source of an Import or Export.
template <class Packet,
class LocalOrdinal = ::Tpetra::Details::DefaultTypes::local_ordinal_type,
class GlobalOrdinal = ::Tpetra::Details::DefaultTypes::global_ordinal_type,
class Node = ::Tpetra::Details::DefaultTypes::node_type,
const bool classic = Node::classic>
class DistObject :
virtual public SrcDistObject,
virtual public Teuchos::Describable
{
public:
//! @name Typedefs
//@{
/// \brief The type of each datum being sent or received in an Import or Export.
///
/// Note that this type does not always correspond to the
/// <tt>Scalar</tt> template parameter of subclasses.
typedef typename Kokkos::Details::ArithTraits<Packet>::val_type packet_type;
//! The type of local indices.
typedef LocalOrdinal local_ordinal_type;
//! The type of global indices.
typedef GlobalOrdinal global_ordinal_type;
//! The Kokkos Node type.
typedef Node node_type;
//! The Kokkos Device type.
typedef typename Node::device_type device_type;
//! The Kokkos execution space.
typedef typename device_type::execution_space execution_space;
private:
typedef typename Kokkos::View<packet_type*, device_type>::size_type view_size_type;
typedef DistObject<Packet, LocalOrdinal, GlobalOrdinal, Node, classic> this_type;
public:
//! The type of the Map specialization to use with this class.
typedef Map<local_ordinal_type, global_ordinal_type, node_type> map_type;
//@}
//! @name Constructors and destructor
//@{
//! Constructor.
explicit DistObject (const Teuchos::RCP<const map_type>& map);
//! Copy constructor.
DistObject (const DistObject<Packet, LocalOrdinal, GlobalOrdinal, Node, classic>& rhs);
//! Destructor (virtual for memory safety of derived classes).
virtual ~DistObject ();
//@}
//! @name Public methods for redistributing data
//@{
/// \brief Import data into this object using an Import object
/// ("forward mode").
///
/// The input DistObject is always the source of the data
/// redistribution operation, and the <tt>*this</tt> object is
/// always the target.
///
/// If you don't know the difference between forward and reverse
/// mode, then you probably want forward mode. Use this method
/// with your precomputed Import object if you want to do an
/// Import, else use doExport() with a precomputed Export object.
///
/// \param source [in] The "source" object for redistribution.
/// \param importer [in] Precomputed data redistribution plan.
/// Its source Map must be the same as the input DistObject's Map,
/// and its target Map must be the same as <tt>this->getMap()</tt>.
/// \param CM [in] How to combine incoming data with the same
/// global index.
void
doImport (const SrcDistObject& source,
const Import<LocalOrdinal, GlobalOrdinal, Node>& importer,
CombineMode CM);
/// \brief Export data into this object using an Export object
/// ("forward mode").
///
/// The input DistObject is always the source of the data
/// redistribution operation, and the <tt>*this</tt> object is
/// always the target.
///
/// If you don't know the difference between forward and reverse
/// mode, then you probably want forward mode. Use this method
/// with your precomputed Export object if you want to do an
/// Export, else use doImport() with a precomputed Import object.
///
/// \param source [in] The "source" object for redistribution.
/// \param exporter [in] Precomputed data redistribution plan.
/// Its source Map must be the same as the input DistObject's Map,
/// and its target Map must be the same as <tt>this->getMap()</tt>.
/// \param CM [in] How to combine incoming data with the same
/// global index.
void
doExport (const SrcDistObject& source,
const Export<LocalOrdinal, GlobalOrdinal, Node>& exporter,
CombineMode CM);
/// \brief Import data into this object using an Export object
/// ("reverse mode").
///
/// The input DistObject is always the source of the data
/// redistribution operation, and the <tt>*this</tt> object is
/// always the target.
///
/// If you don't know the difference between forward and reverse
/// mode, then you probably want forward mode. Use the version of
/// doImport() that takes a precomputed Import object in that
/// case.
///
/// \param source [in] The "source" object for redistribution.
/// \param exporter [in] Precomputed data redistribution plan.
/// Its <i>target</i> Map must be the same as the input DistObject's Map,
/// and its <i>source</i> Map must be the same as <tt>this->getMap()</tt>.
/// (Note the difference from forward mode.)
/// \param CM [in] How to combine incoming data with the same
/// global index.
void
doImport (const SrcDistObject& source,
const Export<LocalOrdinal, GlobalOrdinal, Node>& exporter,
CombineMode CM);
/// \brief Export data into this object using an Import object
/// ("reverse mode").
///
/// The input DistObject is always the source of the data
/// redistribution operation, and the <tt>*this</tt> object is
/// always the target.
///
/// If you don't know the difference between forward and reverse
/// mode, then you probably want forward mode. Use the version of
/// doExport() that takes a precomputed Export object in that
/// case.
///
/// \param source [in] The "source" object for redistribution.
/// \param importer [in] Precomputed data redistribution plan.
/// Its <i>target</i> Map must be the same as the input DistObject's Map,
/// and its <i>source</i> Map must be the same as <tt>this->getMap()</tt>.
/// (Note the difference from forward mode.)
/// \param CM [in] How to combine incoming data with the same
/// global index.
void
doExport (const SrcDistObject& source,
const Import<LocalOrdinal, GlobalOrdinal, Node>& importer,
CombineMode CM);
//@}
//! @name Attribute accessor methods
//@{
/// \brief Whether this is a globally distributed object.
///
/// For a definition of "globally distributed" (and its opposite,
/// "locally replicated"), see the documentation of Map's
/// isDistributed() method.
bool isDistributed () const;
/// \brief The Map describing the parallel distribution of this object.
///
/// Note that some Tpetra objects might be distributed using
/// multiple Map objects. For example, CrsMatrix has both a row
/// Map and a column Map. It is up to the subclass to decide
/// which Map to use when invoking the DistObject constructor.
virtual Teuchos::RCP<const map_type> getMap () const { return map_; }
//@}
//! @name I/O methods
//@{
/// \brief Print this object to the given output stream.
///
/// We generally assume that all MPI processes can print to the
/// given stream.
void print (std::ostream &os) const;
//@}
//! @name Implementation of Teuchos::Describable
//@{
/// \brief One-line descriptiion of this object.
///
/// We declare this method virtual so that subclasses of
/// DistObject may override it.
virtual std::string description () const;
/// \brief Print a descriptiion of this object to the given output stream.
///
/// We declare this method virtual so that subclasses of
/// Distobject may override it.
virtual void
describe (Teuchos::FancyOStream &out,
const Teuchos::EVerbosityLevel verbLevel =
Teuchos::Describable::verbLevel_default) const;
//@}
//! @name Methods for use only by experts
//@{
/// \brief Remove processes which contain no entries in this
/// object's Map.
///
/// \warning This method is ONLY for use by experts. We highly
/// recommend using the nonmember function of the same name
/// defined in this file.
///
/// \warning We make NO promises of backwards compatibility.
/// This method may change or disappear at any time.
///
/// On input, this object is distributed over the Map returned by
/// getMap() (the "original Map," with its communicator, the
/// "original communicator"). The input \c newMap of this method
/// <i>must</i> be the same as the result of calling
/// <tt>getMap()->removeEmptyProcesses()</tt>. On processes in
/// the original communicator which contain zero entries
/// ("excluded processes," as opposed to "included processes"),
/// the input \c newMap must be \c Teuchos::null (which is what
/// <tt>getMap()->removeEmptyProcesses()</tt> returns anyway).
///
/// On included processes, reassign this object's Map (that would
/// be returned by getMap()) to the input \c newMap, and do any
/// work that needs to be done to restore correct semantics. On
/// excluded processes, free any data that needs freeing, and do
/// any other work that needs to be done to restore correct
/// semantics.
///
/// This method has collective semantics over the original
/// communicator. On exit, the only method of this object which
/// is safe to call on excluded processes is the destructor. This
/// implies that subclasses' destructors must not contain
/// communication operations.
///
/// \return The object's new Map. Its communicator is a new
/// communicator, distinct from the old Map's communicator,
/// which contains a subset of the processes in the old
/// communicator.
///
/// \note The name differs from Map's method
/// removeEmptyProcesses(), in order to emphasize that the
/// operation on DistObject happens in place, modifying the
/// input, whereas the operation removeEmptyProcess() on Map
/// does not modify the input.
///
/// \note To implementers of DistObject subclasses: The default
/// implementation of this class throws std::logic_error.
virtual void
removeEmptyProcessesInPlace (const Teuchos::RCP<const map_type>& newMap);
// Forward declaration of nonmember function.
template<class PT, class LO, class GO, class NT>
friend void
removeEmptyProcessesInPlace (Teuchos::RCP<Tpetra::DistObject<PT, LO, GO, NT> >& input,
const Teuchos::RCP<const Map<LO, GO, NT> >& newMap);
// Forward declaration of nonmember function.
template<class PT, class LO, class GO, class NT>
friend void
removeEmptyProcessesInPlace (Teuchos::RCP<Tpetra::DistObject<PT, LO, GO, NT> >& input);
//@}
protected:
/// \enum ReverseOption
/// \brief Whether the data transfer should be performed in
/// forward or reverse mode.
///
/// "Reverse mode" means calling doExport() with an Import object,
/// or calling doImport() with an Export object. "Forward mode"
/// means calling doExport() with an Export object, or calling
/// doImport() with an Import object.
enum ReverseOption {
DoForward, //*!< Perform the transfer in forward mode.
DoReverse //*!< Perform the transfer in reverse mode.
};
/// \brief Whether the implementation's instance promises always
/// to have a constant number of packets per LID (local index),
/// and if so, how many packets per LID there are.
///
/// If this method returns zero, the instance says that it might
/// possibly have a different number of packets for each LID
/// (local index) to send or receive. If it returns nonzero, the
/// instance promises that the number of packets is the same for
/// all LIDs, and that the return value is this number of packets
/// per LID.
///
/// The default implementation of this method returns zero. This
/// does not affect the behavior of doTransfer() in any way. If a
/// nondefault implementation returns nonzero, doTransfer() will
/// use this information to avoid unnecessary allocation and / or
/// resizing of arrays.
virtual size_t constantNumberOfPackets () const;
/// \brief Redistribute data across memory images.
///
/// \param src [in] The source object, to redistribute into
/// the target object, which is <tt>*this</tt> object.
///
/// \param CM [in] The combine mode that describes how to combine
/// values that map to the same global ID on the same process.
///
/// \param permuteToLIDs [in] See copyAndPermute().
///
/// \param permuteFromLIDs [in] See copyAndPermute().
///
/// \param remoteLIDs [in] List of entries (as local IDs) in the
/// destination object to receive from other processes.
///
/// \param exportLIDs [in] See packAndPrepare().
///
/// \param distor [in/out] The Distributor object that knows how
/// to redistribute data.
///
/// \param revOp [in] Whether to do a forward or reverse mode
/// redistribution.
virtual void
doTransfer (const SrcDistObject& src,
CombineMode CM,
size_t numSameIDs,
const Teuchos::ArrayView<const local_ordinal_type> &permuteToLIDs,
const Teuchos::ArrayView<const local_ordinal_type> &permuteFromLIDs,
const Teuchos::ArrayView<const local_ordinal_type> &remoteLIDs,
const Teuchos::ArrayView<const local_ordinal_type> &exportLIDs,
Distributor &distor,
ReverseOption revOp);
virtual void
doTransferOld (const SrcDistObject& src,
CombineMode CM,
size_t numSameIDs,
const Teuchos::ArrayView<const local_ordinal_type> &permuteToLIDs,
const Teuchos::ArrayView<const local_ordinal_type> &permuteFromLIDs,
const Teuchos::ArrayView<const local_ordinal_type> &remoteLIDs,
const Teuchos::ArrayView<const local_ordinal_type> &exportLIDs,
Distributor &distor,
ReverseOption revOp);
virtual void
doTransferNew (const SrcDistObject& src,
const CombineMode CM,
const size_t numSameIDs,
const Kokkos::DualView<const local_ordinal_type*,
device_type>& permuteToLIDs,
const Kokkos::DualView<const local_ordinal_type*,
device_type>& permuteFromLIDs,
const Kokkos::DualView<const local_ordinal_type*,
device_type>& remoteLIDs,
const Kokkos::DualView<const local_ordinal_type*,
device_type>& exportLIDs,
Distributor& distor,
const ReverseOption revOp,
const bool commOnHost);
/// \name Methods implemented by subclasses and used by doTransfer().
///
/// The doTransfer() method uses the subclass' implementations of
/// these methods to implement data transfer. Subclasses of
/// DistObject must implement these methods. This is an instance
/// of the <a
/// href="http://en.wikipedia.org/wiki/Template_method_pattern">Template
/// Method Pattern</a>. ("Template" here doesn't mean "C++
/// template"; it means "pattern with holes that are filled in by
/// the subclass' method implementations.")
//@{
/// \brief Compare the source and target (\e this) objects for compatibility.
///
/// \return True if they are compatible, else false.
virtual bool
checkSizes (const SrcDistObject& source) = 0;
/// \brief Whether the subclass implements the "old" or "new"
/// (Kokkos-friendly) interface.
///
/// The "old" interface consists of copyAndPermute,
/// packAndPrepare, and unpackAndCombine. The "new" interface
/// consists of copyAndPermuteNew, packAndPrepareNew, and
/// unpackAndCombineNew. The new interface is preferred because
/// it facilitates thread parallelization using Kokkos data
/// structures.
///
/// At some point, we will remove the old interface, and rename
/// the "new" interface (by removing "New" from the methods'
/// names), so that it becomes the only interface.
virtual bool useNewInterface () { return false; }
/// \brief Perform copies and permutations that are local to this process.
///
/// \param source [in] On entry, the source object, from which we
/// are distributing. We distribute to the destination object,
/// which is <tt>*this</tt> object.
/// \param numSameIDs [in] The umber of elements that
/// are the same on the source and destination (this) objects.
/// These elements are owned by the same process in both the
/// source and destination objects. No permutation occurs.
/// \param numPermuteIDs [in] The number of elements that are
/// locally permuted between the source and destination objects.
/// \param permuteToLIDs [in] List of the elements that are
/// permuted. They are listed by their LID in the destination
/// object.
/// \param permuteFromLIDs [in] List of the elements that are
/// permuted. They are listed by their LID in the source
/// object.
virtual void
copyAndPermute (const SrcDistObject& source,
size_t numSameIDs,
const Teuchos::ArrayView<const local_ordinal_type>& permuteToLIDs,
const Teuchos::ArrayView<const local_ordinal_type>& permuteFromLIDs)
{}
virtual void
copyAndPermuteNew (const SrcDistObject& source,
const size_t numSameIDs,
const Kokkos::DualView<const local_ordinal_type*, device_type>& permuteToLIDs,
const Kokkos::DualView<const local_ordinal_type*, device_type>& permuteFromLIDs)
{}
/// \brief Perform any packing or preparation required for communication.
///
/// \param source [in] Source object for the redistribution.
///
/// \param exportLIDs [in] List of the entries (as local IDs in
/// the source object) we will be sending to other images.
///
/// \param exports [out] On exit, the buffer for data to send.
///
/// \param numPacketsPerLID [out] On exit, the implementation of
/// this method must do one of two things: set
/// numPacketsPerLID[i] to contain the number of packets to be
/// exported for exportLIDs[i] and set constantNumPackets to
/// zero, or set constantNumPackets to a nonzero value. If the
/// latter, the implementation need not fill numPacketsPerLID.
///
/// \param constantNumPackets [out] On exit, 0 if numPacketsPerLID
/// has variable contents (different size for each LID). If
/// nonzero, then it is expected that the number of packets per
/// LID is constant, and that constantNumPackets is that value.
///
/// \param distor [in] The Distributor object we are using.
virtual void
packAndPrepare (const SrcDistObject& source,
const Teuchos::ArrayView<const local_ordinal_type>& exportLIDs,
Teuchos::Array<packet_type>& exports,
const Teuchos::ArrayView<size_t>& numPacketsPerLID,
size_t& constantNumPackets,
Distributor &distor)
{}
virtual void
packAndPrepareNew (const SrcDistObject& source,
const Kokkos::DualView<const local_ordinal_type*, device_type>& exportLIDs,
Kokkos::DualView<packet_type*, device_type>& exports,
const Kokkos::DualView<size_t*, device_type>& numPacketsPerLID,
size_t& constantNumPackets,
Distributor& distor)
{}
/// \brief Perform any unpacking and combining after communication
/// (old version that uses Teuchos memory management classes to
/// hold data).
///
/// \param importLIDs [in] List of the entries (as LIDs in the
/// destination object) we received from other images.
///
/// \param imports [in] Buffer containing data we received.
///
/// \param numPacketsPerLID [in] If constantNumPackets is zero,
/// then numPacketsPerLID[i] contains the number of packets
/// imported for importLIDs[i].
///
/// \param constantNumPackets [in] If nonzero, then
/// numPacketsPerLID is constant (same value in all entries) and
/// constantNumPackets is that value. If zero, then
/// numPacketsPerLID[i] is the number of packets imported for
/// importLIDs[i].
///
/// \param distor [in] The Distributor object we are using.
///
/// \param CM [in] The combine mode to use when combining the
/// imported entries with existing entries.
virtual void
unpackAndCombine (const Teuchos::ArrayView<const local_ordinal_type>& importLIDs,
const Teuchos::ArrayView<const packet_type>& imports,
const Teuchos::ArrayView<size_t>& numPacketsPerLID,
size_t constantNumPackets,
Distributor &distor,
CombineMode CM)
{}
/// \brief Perform any unpacking and combining after communication
/// (new version that uses Kokkos data structures to hold data).
///
/// The \c imports input argument controls whether this method
/// should unpack on host or unpack on device.
///
/// \param importLIDs [in] List of the entries (as LIDs in the
/// destination object) we received from other images.
///
/// \param imports [in] Buffer containing data we received.
///
/// \param numPacketsPerLID [in] If constantNumPackets is zero,
/// then numPacketsPerLID[i] contains the number of packets
/// imported for importLIDs[i].
///
/// \param constantNumPackets [in] If nonzero, then
/// numPacketsPerLID is constant (same value in all entries) and
/// constantNumPackets is that value. If zero, then
/// numPacketsPerLID[i] is the number of packets imported for
/// importLIDs[i].
///
/// \param distor [in] The Distributor object we are using.
///
/// \param CM [in] The combine mode to use when combining the
/// imported entries with existing entries.
virtual void
unpackAndCombineNew (const Kokkos::DualView<const local_ordinal_type*, device_type>& importLIDs,
const Kokkos::DualView<const packet_type*, device_type>& imports,
const Kokkos::DualView<const size_t*, device_type>& numPacketsPerLID,
const size_t constantNumPackets,
Distributor& distor,
const CombineMode CM)
{}
//@}
/// \brief Hook for creating a const view.
///
/// doTransfer() calls this on the source object. By default,
/// it does nothing, but the source object can use this as a hint
/// to fetch data from a compute buffer on an off-CPU device (such
/// as a GPU) into host memory.
virtual void createViews () const;
/// \brief Hook for creating a nonconst view.
///
/// doTransfer() calls this on the destination (<tt>*this</tt>)
/// object. By default, it does nothing, but the destination
/// object can use this as a hint to fetch data from a compute
/// buffer on an off-CPU device (such as a GPU) into host memory.
///
/// \param rwo [in] Whether to create a write-only or a
/// read-and-write view. For Kokkos Node types where compute
/// buffers live in a separate memory space (e.g., in the device
/// memory of a discrete accelerator like a GPU), a write-only
/// view only requires copying from host memory to the compute
/// buffer, whereas a read-and-write view requires copying both
/// ways (once to read, from the compute buffer to host memory,
/// and once to write, back to the compute buffer).
virtual void createViewsNonConst (KokkosClassic::ReadWriteOption rwo);
/// \brief Hook for releasing views.
///
/// \note This is no longer called (and is therefore no longer
/// needed) for subclasses for which useNewInterface() returns
/// \c true.
///
/// doTransfer() calls this on both the source and destination
/// objects, once it no longer needs to access that object's data.
/// By default, this method does nothing. Implementations may use
/// this as a hint to free host memory which is a view of a
/// compute buffer, once the host memory view is no longer needed.
/// Some implementations may prefer to mirror compute buffers in
/// host memory; for these implementations, releaseViews() may do
/// nothing.
virtual void releaseViews () const;
//! The Map over which this object is distributed.
Teuchos::RCP<const map_type> map_;
protected:
/// \brief Buffer into which packed data are imported (received
/// from other processes).
///
/// Unfortunately, I had to declare these protected, because
/// CrsMatrix uses them at one point. Please, nobody else use
/// them.
Kokkos::DualView<packet_type*, execution_space> imports_;
/// \brief Reallocate imports_ if needed.
///
/// This unfortunately must be declared protected, for the same
/// reason that imports_ is declared protected.
///
/// \param newSize [in] New size of imports_.
/// \param debug [in] Whether to print (copious) debug output to stderr.
void
reallocImportsIfNeeded (const size_t newSize, const bool debug = false);
/// \brief Number of packets to receive for each receive operation.
///
/// This array is used in Distributor::doPosts() (and
/// doReversePosts()) when starting the ireceive operation.
///
/// This may be ignored in doTransfer() if constantNumPackets
/// is nonzero, indicating a constant number of packets per LID.
/// (For example, MultiVector sets the constantNumPackets output
/// argument of packAndPrepare() to the number of columns in
/// the multivector.)
///
/// Unfortunately, I had to declare this protected, because
/// CrsMatrix uses it at one point. Please, nobody else use it.
Kokkos::DualView<size_t*, execution_space> numImportPacketsPerLID_;
/// \brief Buffer from which packed data are exported (sent to
/// other processes).
///
/// Unfortunately, I had to declare this protected, because
/// CrsMatrix uses it at one point. Please, nobody else use it.
Kokkos::DualView<packet_type*, device_type> exports_;
/// \brief Number of packets to send for each send operation.
///
/// This array is used in Distributor::doPosts() (and
/// doReversePosts()) for preparing for the send operation.
///
/// This may be ignored in doTransfer() if constantNumPackets is
/// nonzero, indicating a constant number of packets per LID.
/// (For example, MultiVector sets the constantNumPackets output
/// argument of packAndPrepare() to the number of columns in the
/// multivector.)
///
/// Unfortunately, I had to declare this protected, because
/// CrsMatrix uses them at one point. Please, nobody else use it.
Kokkos::DualView<size_t*, execution_space> numExportPacketsPerLID_;
#ifdef HAVE_TPETRA_TRANSFER_TIMERS
private:
Teuchos::RCP<Teuchos::Time> doXferTimer_;
Teuchos::RCP<Teuchos::Time> copyAndPermuteTimer_;
Teuchos::RCP<Teuchos::Time> packAndPrepareTimer_;
Teuchos::RCP<Teuchos::Time> doPostsAndWaitsTimer_;
Teuchos::RCP<Teuchos::Time> unpackAndCombineTimer_;
#endif // HAVE_TPETRA_TRANSFER_TIMERS
}; // class DistObject
/// \brief Remove processes which contain no elements in this object's Map.
///
/// \tparam DistObjectType A specialization of DistObject.
///
/// \warning This method is ONLY for use by experts. The fact that
/// the documentation of this method starts with a "Vocabulary"
/// section should give you proper respect for the complicated
/// semantics of this method in a parallel MPI run.
/// \warning We make NO promises of backwards compatibility.
/// This method may change or disappear at any time.
///
/// Vocabulary:
/// - The Map returned by <tt>input->getMap() on input to this
/// method is the "original Map."
/// - The communicator returned by <tt>input->getComm() on
/// input to this method is the "original communicator."
/// - All processes in the original communicator which contain zero
/// elements in the original Map are "excluded processes."
/// - All other processes in the original communicator are "included
/// processes."
///
/// Preconditions:
/// - The nonnull object \c input is distributed over the
/// original Map.
/// - The input Map <tt>newMap</tt> <i>must</i> be the same as the
/// result of calling removeEmptyProcesses() on the original Map.
/// - On excluded processes, <tt>newMap</tt> must be
/// <tt>Teuchos::null</tt>. (This is what
/// <tt>getMap()->removeEmptyProcesses()</tt> returns anyway on
/// excluded processes.)
///
/// This method has collective semantics over the original
/// communicator. On included processes, reassign this object's Map
/// (that would be returned by getMap()) to the input \c newMap, and
/// do any work that needs to be done to restore correct semantics.
/// The input DistObject \c input will be nonnull on return. On
/// excluded processes, free any data in \c input that need freeing,
/// do any other work that needs to be done to restore correct
/// semantics, and set \c input to null before returning.
///
/// The two-argument version of this function is useful if you have
/// already precomputed the new Map that excludes processes with
/// zero elements. For example, you might want to apply this Map to
/// several different MultiVector instances. The one-argument
/// version of this function is useful if you want the DistObject to
/// compute the new Map itself, because you only plan to use it for
/// that one DistObject instance.
///
/// Here is a sample use case. Suppose that \c input is some
/// subclass of DistObject, like MultiVector, CrsGraph, or
/// CrsMatrix. Suppose also that \c map_type is the corresponding
/// specialization of Map.
/// \code
/// RCP<const map_type> origRowMap = input->getMap ();
/// RCP<const map_type> newRowMap = origRowMap->removeEmptyProcesses ();
/// removeEmptyProcessesInPlace (input, newRowMap);
/// // Either (both the new Map and input are null), or
/// // (both the new Map and input are not null).
/// assert ((newRowMap.is_null () && input.is_null ()) ||
/// (! newRowMap.is_null () && ! input.is_null ()));
/// \endcode
///
/// \warning On excluded processes, calling this function
/// invalidates any other references to the input DistObject
/// <tt>input</tt>. Calling any methods (other than the
/// destructor) on the input on excluded processes has undefined
/// behavior in that case, and may result in deadlock.
///
/// \note The name differs from Map's method
/// removeEmptyProcesses(), in order to emphasize that the
/// operation on DistObject happens in place, modifying the
/// input, whereas the operation removeEmptyProcess() on Map
/// does not modify the input.
///
/// \note To implementers of DistObject subclasses: The default
/// implementation of this class throws std::logic_error.
///
/// \note To implementers of DistObject subclasses: On exit, the
/// only method of this object which is safe to call on excluded
/// processes is the destructor, or this method with the original
/// Map. This implies that subclasses' destructors must not
/// contain communication operations.
template<class DistObjectType>
void
removeEmptyProcessesInPlace (Teuchos::RCP<DistObjectType>& input,
const Teuchos::RCP<const Map<typename DistObjectType::local_ordinal_type,
typename DistObjectType::global_ordinal_type,
typename DistObjectType::node_type> >& newMap);
/// \brief Remove processes which contain no elements in this object's Map.
///
/// \tparam DistObjectType A specialization of DistObject.
///
/// \warning This method is ONLY for use by experts.
/// \warning We make NO promises of backwards compatibility.
/// This method may change or disappear at any time.
///
/// This method behaves just like the two-argument version of
/// removeEmptyProcessesInPlace(), except that it first calls
/// removeEmptyProcesses() on the input DistObject's Map to compute
/// the new Map.
///
/// The two-argument version of this function is useful if you have
/// already precomputed the new Map that excludes processes with
/// zero elements. For example, you might want to apply this Map to
/// several different MultiVector instances. The one-argument
/// version of this function is useful if you want the DistObject to
/// compute the new Map itself, because you only plan to use it for
/// that one DistObject instance.
///
/// Here is a sample use case. Suppose that \c input is some
/// subclass of DistObject, like MultiVector, CrsGraph, or
/// CrsMatrix. Suppose also that \c map_type is the corresponding
/// specialization of Map.
/// \code
/// removeEmptyProcessesInPlace (input);
/// RCP<const map_type> newRowMap;
/// if (! input.is_null ()) {
/// newRowMap = input->getMap ();
/// }
/// // Either (both the new Map and input are null), or
/// // (both the new Map and input are not null).
/// assert ((newRowMap.is_null () && input.is_null ()) ||
/// (! newRowMap.is_null () && ! input.is_null ()));
/// \endcode
template<class DistObjectType>
void
removeEmptyProcessesInPlace (Teuchos::RCP<DistObjectType>& input);
} // namespace Tpetra
#endif // TPETRA_DISTOBJECT_DECL_HPP
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