Template Numerical Library version\ main:4904c12
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TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize > Class Template Reference

SlicedEllpackBase serves as a base class for TNL::Algorithms::Segments::SlicedEllpack and TNL::Algorithms::Segments::SlicedEllpackView. More...

#include <TNL/Algorithms/Segments/SlicedEllpackBase.h>

Inheritance diagram for TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >:
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Collaboration diagram for TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >:
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Public Types

using ConstOffsetsView = typename OffsetsView::ConstViewType
 The type for representing the constant vector view with segment offsets.
using DeviceType = Device
 The device where the segments are operating.
using IndexType = std::remove_const_t< Index >
 The type used for indexing of segments elements.
using OffsetsView = Containers::VectorView< Index, DeviceType, IndexType >
 The type for representing the vector view with segment offsets.
using SegmentViewType = SegmentView< IndexType, Organization >
 Accessor type for one particular segment.

Public Member Functions

__cuda_callable__ SlicedEllpackBase ()=default
 Default constructor with no parameters to create empty segments view.
__cuda_callable__ SlicedEllpackBase (const SlicedEllpackBase &)=default
 Copy constructor.
__cuda_callable__ SlicedEllpackBase (IndexType size, IndexType storageSize, IndexType segmentsCount, OffsetsView &&sliceOffsets, OffsetsView &&sliceSegmentSizes)
 Constructor that initializes segments based on all necessary data.
__cuda_callable__ SlicedEllpackBase (SlicedEllpackBase &&) noexcept=default
 Move constructor.
template<typename Function>
void forAllElements (Function &&function) const
template<typename Condition, typename Function>
void forAllElementsIf (Condition condition, Function function) const
template<typename Function>
void forAllSegments (Function &&function) const
template<typename Array, typename Function>
void forElements (const Array &segmentIndexes, Function function) const
template<typename Array, typename Function>
void forElements (const Array &segmentIndexes, Index begin, Index end, Function function) const
template<typename Function>
void forElements (IndexType begin, IndexType end, Function &&function) const
template<typename Condition, typename Function>
void forElementsIf (IndexType begin, IndexType end, Condition condition, Function function) const
template<typename Function>
void forSegments (IndexType begin, IndexType end, Function &&function) const
__cuda_callable__ IndexType getElementCount () const
 Returns the number of elements managed by all segments.
__cuda_callable__ IndexType getGlobalIndex (Index segmentIdx, Index localIdx) const
 Computes the global index of an element managed by the segments.
__cuda_callable__ IndexType getSegmentCount () const
 Returns the number of segments.
__cuda_callable__ IndexType getSegmentsCount () const
 Returns the number of segments. Deprecated, use getSegmentCount().
__cuda_callable__ IndexType getSegmentSize (IndexType segmentIdx) const
 Returns the size of a particular segment denoted by segmentIdx.
__cuda_callable__ SegmentViewType getSegmentView (IndexType segmentIdx) const
 Returns a segment view (i.e., a segment accessor) for the specified segment index.
__cuda_callable__ IndexType getSize () const
 Returns the number of elements managed by all segments.
__cuda_callable__ OffsetsView getSliceOffsetsView ()
 Returns a modifiable vector view with the offsets of particular slices.
__cuda_callable__ ConstOffsetsView getSliceOffsetsView () const
 Returns a constant vector view with the offsets of particular slices.
__cuda_callable__ OffsetsView getSliceSegmentSizesView ()
 Returns a modifiable vector view with the segment sizes in particular slices.
__cuda_callable__ ConstOffsetsView getSliceSegmentSizesView () const
 Returns a constant vector view with the segment sizes in particular slices.
__cuda_callable__ IndexType getStorageSize () const
 Returns number of elements that needs to be allocated by a container connected to this segments.
SlicedEllpackBaseoperator= (const SlicedEllpackBase &)=delete
 Copy-assignment operator.
SlicedEllpackBaseoperator= (SlicedEllpackBase &&)=delete
 Move-assignment operator.

Static Public Member Functions

static constexpr ElementsOrganization getOrganization ()
 Returns the data layout.
static std::string getSegmentsType ()
 Returns string with the segments type.
static std::string getSerializationType ()
 Returns string with the serialization type.
static constexpr int getSliceSize ()
 Returns the size of each slice.
static constexpr bool havePadding ()
 This function denotes that the SlicedEllpack format use padding elements.

Protected Member Functions

__cuda_callable__ void bind (IndexType size, IndexType storageSize, IndexType segmentsCount, OffsetsView sliceOffsets, OffsetsView sliceSegmentSizes)
 Re-initializes the internal attributes of the base class.

Protected Attributes

IndexType segmentsCount = 0
IndexType size = 0
OffsetsView sliceOffsets
OffsetsView sliceSegmentSizes
IndexType storageSize = 0

Detailed Description

template<typename Device, typename Index, ElementsOrganization Organization, int SliceSize>
class TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >

SlicedEllpackBase serves as a base class for TNL::Algorithms::Segments::SlicedEllpack and TNL::Algorithms::Segments::SlicedEllpackView.

Template Parameters
Deviceis type of device where the segments will be operating.
Indexis type for indexing of the elements managed by the segments.
Organizationis the organization of the elements in the segments—either row-major or column-major order.
SliceSizeis the size of each slice.

Member Function Documentation

◆ bind()

template<typename Device, typename Index, ElementsOrganization Organization, int SliceSize>
__cuda_callable__ void TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >::bind ( IndexType size,
IndexType storageSize,
IndexType segmentsCount,
OffsetsView sliceOffsets,
OffsetsView sliceSegmentSizes )
protected

Re-initializes the internal attributes of the base class.

Note that this function is protected to ensure that the user cannot modify the base class of segments. For the same reason, in future code development we also need to make sure that all non-const functions in the base class return by value and not by reference.

◆ getGlobalIndex()

template<typename Device, typename Index, ElementsOrganization Organization, int SliceSize>
__cuda_callable__ IndexType TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >::getGlobalIndex ( Index segmentIdx,
Index localIdx ) const
nodiscard

Computes the global index of an element managed by the segments.

The global index serves as a reference to the element within its container.

Parameters
segmentIdxThe index of the segment containing the element.
localIdxThe local index of the element within the segment.
Returns
The global index of the element.

◆ getSegmentsType()

template<typename Device, typename Index, ElementsOrganization Organization, int SliceSize>
std::string TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >::getSegmentsType ( )
staticnodiscard

Returns string with the segments type.

Example
#include <iostream>
#include <functional>
#include <TNL/Algorithms/Segments/CSR.h>
#include <TNL/Algorithms/Segments/Ellpack.h>
#include <TNL/Devices/Host.h>
#include <TNL/Devices/Cuda.h>
template< typename Segments >
void
SegmentsExample()
{
/***
* Create segments and print the segments type.
*/
Segments segments;
std::cout << "The segments type is: " << segments.getSegmentsType() << '\n';
}
int
main( int argc, char* argv[] )
{
std::cout << "Example of CSR segments on host:\n";
SegmentsExample< TNL::Algorithms::Segments::CSR< TNL::Devices::Host, int > >();
std::cout << "Example of Ellpack segments on host:\n";
SegmentsExample< TNL::Algorithms::Segments::Ellpack< TNL::Devices::Host, int > >();
#ifdef __CUDACC__
std::cout << "Example of CSR segments on CUDA GPU:\n";
SegmentsExample< TNL::Algorithms::Segments::CSR< TNL::Devices::Cuda, int > >();
std::cout << "Example of Ellpack segments on CUDA GPU:\n";
SegmentsExample< TNL::Algorithms::Segments::Ellpack< TNL::Devices::Cuda, int > >();
#endif
return EXIT_SUCCESS;
}
Namespace for the segments data structures.
Definition _NamespaceDoxy.h:7
Output
Example of CSR segments on host:
The segments type is: CSR
Example of Ellpack segments on host:
The segments type is: Ellpack
Example of CSR segments on CUDA GPU:
The segments type is: CSR
Example of Ellpack segments on CUDA GPU:
The segments type is: Ellpack

◆ getSegmentView()

template<typename Device, typename Index, ElementsOrganization Organization, int SliceSize>
__cuda_callable__ SegmentViewType TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >::getSegmentView ( IndexType segmentIdx) const
nodiscard

Returns a segment view (i.e., a segment accessor) for the specified segment index.

Parameters
segmentIdxThe index of the requested segment.
Returns
The segment view of the specified segment.
Example
#include <iostream>
#include <TNL/Containers/Vector.h>
#include <TNL/Algorithms/Segments/CSR.h>
#include <TNL/Algorithms/Segments/Ellpack.h>
#include <TNL/Algorithms/SequentialFor.h>
#include <TNL/Devices/Host.h>
#include <TNL/Devices/Cuda.h>
template< typename Segments >
void
SegmentsExample()
{
using Device = typename Segments::DeviceType;
/***
* Create segments with given segments sizes.
*/
const int size( 5 );
Segments segments{ 1, 2, 3, 4, 5 };
auto view = segments.getView();
/***
* Print the elements mapping using segment view.
*/
std::cout << "Mapping of local indexes to global indexes:\n";
auto f = [ = ] __cuda_callable__( int segmentIdx )
{
printf( "Segment idx. %d: ", segmentIdx ); // printf works even in GPU kernels
auto segment = view.getSegmentView( segmentIdx );
for( auto element : segment )
printf( "%d -> %d \t", element.localIndex(), element.globalIndex() );
printf( "\n" );
};
}
int
main( int argc, char* argv[] )
{
std::cout << "Example of CSR segments on host:\n";
SegmentsExample< TNL::Algorithms::Segments::CSR< TNL::Devices::Host, int > >();
std::cout << "Example of Ellpack segments on host:\n";
SegmentsExample< TNL::Algorithms::Segments::Ellpack< TNL::Devices::Host, int > >();
#ifdef __CUDACC__
std::cout << "Example of CSR segments on CUDA GPU:\n";
SegmentsExample< TNL::Algorithms::Segments::CSR< TNL::Devices::Cuda, int > >();
std::cout << "Example of Ellpack segments on CUDA GPU:\n";
SegmentsExample< TNL::Algorithms::Segments::Ellpack< TNL::Devices::Cuda, int > >();
#endif
return EXIT_SUCCESS;
}
#define __cuda_callable__
Definition Macros.h:49
static void exec(Index start, Index end, Function f)
Static method for execution of the loop.
Definition SequentialFor.h:36
Output
Example of CSR segments on host:
Mapping of local indexes to global indexes:
Segment idx. 0: 0 -> 0
Segment idx. 1: 0 -> 1 1 -> 2
Segment idx. 2: 0 -> 3 1 -> 4 2 -> 5
Segment idx. 3: 0 -> 6 1 -> 7 2 -> 8 3 -> 9
Segment idx. 4: 0 -> 10 1 -> 11 2 -> 12 3 -> 13 4 -> 14
Example of Ellpack segments on host:
Mapping of local indexes to global indexes:
Segment idx. 0: 0 -> 0 1 -> 1 2 -> 2 3 -> 3 4 -> 4
Segment idx. 1: 0 -> 5 1 -> 6 2 -> 7 3 -> 8 4 -> 9
Segment idx. 2: 0 -> 10 1 -> 11 2 -> 12 3 -> 13 4 -> 14
Segment idx. 3: 0 -> 15 1 -> 16 2 -> 17 3 -> 18 4 -> 19
Segment idx. 4: 0 -> 20 1 -> 21 2 -> 22 3 -> 23 4 -> 24
Example of CSR segments on CUDA GPU:
Mapping of local indexes to global indexes:
Segment idx. 0: 0 -> 0
Segment idx. 1: 0 -> 1 1 -> 2
Segment idx. 2: 0 -> 3 1 -> 4 2 -> 5
Segment idx. 3: 0 -> 6 1 -> 7 2 -> 8 3 -> 9
Segment idx. 4: 0 -> 10 1 -> 11 2 -> 12 3 -> 13 4 -> 14
Example of Ellpack segments on CUDA GPU:
Mapping of local indexes to global indexes:
Segment idx. 0: 0 -> 0 1 -> 32 2 -> 64 3 -> 96 4 -> 128
Segment idx. 1: 0 -> 1 1 -> 33 2 -> 65 3 -> 97 4 -> 129
Segment idx. 2: 0 -> 2 1 -> 34 2 -> 66 3 -> 98 4 -> 130
Segment idx. 3: 0 -> 3 1 -> 35 2 -> 67 3 -> 99 4 -> 131
Segment idx. 4: 0 -> 4 1 -> 36 2 -> 68 3 -> 100 4 -> 132

◆ getSerializationType()

template<typename Device, typename Index, ElementsOrganization Organization, int SliceSize>
std::string TNL::Algorithms::Segments::SlicedEllpackBase< Device, Index, Organization, SliceSize >::getSerializationType ( )
staticnodiscard

Returns string with the serialization type.

Example
#include <iostream>
#include <functional>
#include <TNL/Algorithms/Segments/CSR.h>
#include <TNL/Algorithms/Segments/Ellpack.h>
#include <TNL/Devices/Host.h>
#include <TNL/Devices/Cuda.h>
template< typename Segments >
void
SegmentsExample()
{
/***
* Create segments and print the serialization type.
*/
Segments segments;
std::cout << "The serialization type is: " << segments.getSerializationType() << '\n';
}
int
main( int argc, char* argv[] )
{
std::cout << "Example of CSR segments on host:\n";
SegmentsExample< TNL::Algorithms::Segments::CSR< TNL::Devices::Host, int > >();
std::cout << "Example of Ellpack segments on host:\n";
SegmentsExample< TNL::Algorithms::Segments::Ellpack< TNL::Devices::Host, int > >();
#ifdef __CUDACC__
std::cout << "Example of CSR segments on CUDA GPU:\n";
SegmentsExample< TNL::Algorithms::Segments::CSR< TNL::Devices::Cuda, int > >();
std::cout << "Example of Ellpack segments on CUDA GPU:\n";
SegmentsExample< TNL::Algorithms::Segments::Ellpack< TNL::Devices::Cuda, int > >();
#endif
return EXIT_SUCCESS;
}
Output
Example of CSR segments on host:
The serialization type is: CSR< int >
Example of Ellpack segments on host:
The serialization type is: Ellpack< int, RowMajorOrder, 32 >
Example of CSR segments on CUDA GPU:
The serialization type is: CSR< int >
Example of Ellpack segments on CUDA GPU:
The serialization type is: Ellpack< int, ColumnMajorOrder, 32 >

The documentation for this class was generated from the following file: