Uses of Class
org.apache.sysds.runtime.data.SparseBlock

Packages that use SparseBlock

Package	Description
org.apache.sysds.runtime.compress
org.apache.sysds.runtime.compress.colgroup
org.apache.sysds.runtime.compress.colgroup.dictionary
org.apache.sysds.runtime.compress.colgroup.indexes
org.apache.sysds.runtime.compress.colgroup.mapping
org.apache.sysds.runtime.compress.colgroup.offset
org.apache.sysds.runtime.controlprogram.caching
org.apache.sysds.runtime.data
org.apache.sysds.runtime.matrix.data
org.apache.sysds.runtime.util

Uses of SparseBlock in org.apache.sysds.runtime.compress

Methods in org.apache.sysds.runtime.compress that return SparseBlock

Modifier and Type	Method	Description
SparseBlock	CompressedMatrixBlock.getSparseBlock()

Methods in org.apache.sysds.runtime.compress with parameters of type SparseBlock

Modifier and Type	Method	Description
void	CompressedMatrixBlock.appendRowToSparse(SparseBlock dest, MatrixBlock src, int i, int rowoffset, int coloffset, boolean deep)
void	CompressedMatrixBlock.setSparseBlock(SparseBlock sblock)

Uses of SparseBlock in org.apache.sysds.runtime.compress.colgroup

Methods in org.apache.sysds.runtime.compress.colgroup with parameters of type SparseBlock

Modifier and Type	Method	Description
void	AColGroup.decompressToSparseBlock(SparseBlock sb, int rl, int ru)	Decompress a range of rows into a sparse block Note that this is using append, so the sparse column indexes need to be sorted afterwards.
abstract void	AColGroup.decompressToSparseBlock(SparseBlock sb, int rl, int ru, int offR, int offC)	Decompress into the SparseBlock.
void	ADictBasedColGroup.decompressToSparseBlock(SparseBlock sb, int rl, int ru, int offR, int offC)
void	ColGroupEmpty.decompressToSparseBlock(SparseBlock sb, int rl, int ru, int offR, int offC)
void	ColGroupLinearFunctional.decompressToSparseBlock(SparseBlock ret, int rl, int ru, int offR, int offC)
void	ColGroupUncompressed.decompressToSparseBlock(SparseBlock ret, int rl, int ru, int offR, int offC)
static void	ColGroupUtils.outerProduct(double[] leftRowSum, SparseBlock rightColSum, IColIndex colIdxRight, double[] result, int nColR, int rl, int ru)
abstract void	APreAgg.preAggregateSparse(SparseBlock sb, double[] preAgg, int rl, int ru)
void	ColGroupDDC.preAggregateSparse(SparseBlock sb, double[] preAgg, int rl, int ru)
void	ColGroupOLE.preAggregateSparse(SparseBlock sb, double[] preAgg, int rl, int ru)
void	ColGroupRLE.preAggregateSparse(SparseBlock sb, double[] preAgg, int rl, int ru)
void	ColGroupSDCSingleZeros.preAggregateSparse(SparseBlock sb, double[] preAgg, int rl, int ru)
void	ColGroupSDCZeros.preAggregateSparse(SparseBlock sb, double[] preAgg, int rl, int ru)

Uses of SparseBlock in org.apache.sysds.runtime.compress.colgroup.dictionary

Methods in org.apache.sysds.runtime.compress.colgroup.dictionary with parameters of type SparseBlock

Modifier and Type	Method	Description
void	Dictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IdentityDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	IDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)	Matrix multiplication of dictionaries left side sparse and transposed right side is this.
void	MatrixBlockDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	PlaceHolderDict.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	QDictionary.MMDictScalingSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result, int[] scaling)
void	Dictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication of dictionaries left side sparse and transposed right side is this.
void	MatrixBlockDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.MMDictSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IdentityDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is right
void	MatrixBlockDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleSparse(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, MatrixBlock result)
void	Dictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IdentityDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	IDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)	Matrix multiplication but allocate output in upper triangle and twice if on diagonal, note this is right
void	MatrixBlockDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	PlaceHolderDict.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)
void	QDictionary.TSMMToUpperTriangleSparseScaling(SparseBlock left, IColIndex rowsLeft, IColIndex colsRight, int[] scale, MatrixBlock result)

Uses of SparseBlock in org.apache.sysds.runtime.compress.colgroup.indexes

Methods in org.apache.sysds.runtime.compress.colgroup.indexes with parameters of type SparseBlock

Modifier and Type	Method	Description
void	AColIndex.decompressToDenseFromSparse(SparseBlock sb, int vr, int off, double[] c)
void	IColIndex.decompressToDenseFromSparse(SparseBlock sb, int vr, int off, double[] c)	Decompress this column index into the dense c array.

Uses of SparseBlock in org.apache.sysds.runtime.compress.colgroup.mapping

Methods in org.apache.sysds.runtime.compress.colgroup.mapping with parameters of type SparseBlock

Modifier and Type	Method	Description
void	AMapToData.preAggregateSparse(SparseBlock sb, double[] preAV, int rl, int ru)	PreAggregate the sparseblock in the range of rows given.
void	AMapToData.preAggregateSparse(SparseBlock sb, double[] preAV, int rl, int ru, AOffset indexes)	PreAggregate the SparseBlock in the range of rows given.

Uses of SparseBlock in org.apache.sysds.runtime.compress.colgroup.offset

Methods in org.apache.sysds.runtime.compress.colgroup.offset with parameters of type SparseBlock

Modifier and Type	Method	Description
void	AOffset.preAggregateSparseMap(SparseBlock sb, double[] preAV, int rl, int ru, int nVal, AMapToData data)

Uses of SparseBlock in org.apache.sysds.runtime.controlprogram.caching

Methods in org.apache.sysds.runtime.controlprogram.caching with parameters of type SparseBlock

Modifier and Type	Method	Description
long	CacheDataInput.readSparseRows(int rlen, long nnz, SparseBlock rows)
void	CacheDataOutput.writeSparseRows(int rlen, SparseBlock rows)

Uses of SparseBlock in org.apache.sysds.runtime.data

Subclasses of SparseBlock in org.apache.sysds.runtime.data

Modifier and Type	Class	Description
class	SparseBlockCOO	SparseBlock implementation that realizes a traditional 'coordinate matrix' representation, where the entire sparse block is stored as triples in three arrays: row indexes, column indexes, and values, where row indexes and colunm indexes are sorted in order to allow binary search.
class	SparseBlockCSR	SparseBlock implementation that realizes a traditional 'compressed sparse row' representation, where the entire sparse block is stored as three arrays: ptr of length rlen+1 to store offsets per row, and indexes/values of length nnz to store column indexes and values of non-zero entries.
class	SparseBlockDCSR
class	SparseBlockMCSR	SparseBlock implementation that realizes a 'modified compressed sparse row' representation, where each compressed row is stored as a separate SparseRow object which provides flexibility for unsorted row appends without the need for global reshifting of values/indexes but it incurs additional memory overhead per row for object/array headers per row which also slows down memory-bound operations due to higher memory bandwidth requirements.

Methods in org.apache.sysds.runtime.data that return SparseBlock

Modifier and Type	Method	Description
static SparseBlock	SparseBlockFactory.copySparseBlock(SparseBlock.Type type, SparseBlock sblock, boolean forceCopy)
static SparseBlock	SparseBlockFactory.createFromArray(double[] valsDense, int nCol, int nnz)	Create a sparse block from an array.
static SparseBlock	SparseBlockFactory.createIdentityMatrix(int nRowCol)
static SparseBlock	SparseBlockFactory.createIdentityMatrixWithEmptyRow(int nRowCol)
static SparseBlock	SparseBlockFactory.createSparseBlock(int rlen)
static SparseBlock	SparseBlockFactory.createSparseBlock(SparseBlock.Type type, int rlen)
static SparseBlock	SparseBlockFactory.createSparseBlock(SparseBlock.Type type, SparseRow row)
SparseBlock	BasicTensorBlock.getSparseBlock()

Methods in org.apache.sysds.runtime.data with parameters of type SparseBlock

Modifier and Type	Method	Description
static SparseBlock	SparseBlockFactory.copySparseBlock(SparseBlock.Type type, SparseBlock sblock, boolean forceCopy)
boolean	SparseBlock.equals(SparseBlock o, double eps)	Verify if the values in this sparse block is equivalent to that sparse block, not taking into account the dimensions of the contained values.
static SparseBlock.Type	SparseBlockFactory.getSparseBlockType(SparseBlock sblock)
boolean	SparseBlock.isAligned(int r, SparseBlock that)	Indicates if all non-zero values of row r are aligned with the same row of the given second sparse block instance, which can be exploited for more efficient operations.
boolean	SparseBlock.isAligned(SparseBlock that)	Indicates if all non-zero values are aligned with the given second sparse block instance, which can be exploited for more efficient operations.
static boolean	SparseBlockFactory.isSparseBlockType(SparseBlock sblock, SparseBlock.Type type)
void	SparseBlockCSR.setIndexRange(int rl, int ru, int cl, int cu, SparseBlock sb)	Inserts a sparse block into the row and column range [rl,ru) and [cl,cu).

Constructors in org.apache.sysds.runtime.data with parameters of type SparseBlock

Constructor	Description
SparseBlockCOO(SparseBlock sblock)	Copy constructor sparse block abstraction.
SparseBlockCSR(SparseBlock sblock)	Copy constructor sparse block abstraction.
SparseBlockDCSR(SparseBlock sblock)	Copy constructor sparse block abstraction.
SparseBlockMCSR(SparseBlock sblock)	Copy constructor sparse block abstraction.

Uses of SparseBlock in org.apache.sysds.runtime.matrix.data

Methods in org.apache.sysds.runtime.matrix.data that return SparseBlock

Modifier and Type	Method	Description
SparseBlock	MatrixBlock.getSparseBlock()

Methods in org.apache.sysds.runtime.matrix.data with parameters of type SparseBlock

Modifier and Type	Method	Description
void	MatrixBlock.appendRowToSparse(SparseBlock dest, MatrixBlock src, int i, int rowoffset, int coloffset, boolean deep)
long	MatrixBlockDataInput.readSparseRows(int rlen, long nnz, SparseBlock rows)	Reads the sparse rows array from the data input into a sparse block and returns the number of non-zeros.
void	MatrixBlock.setSparseBlock(SparseBlock sblock)
void	MatrixBlockDataOutput.writeSparseRows(int rlen, SparseBlock rows)	Writes the sparse rows array of a sparse block to the data output.

Constructors in org.apache.sysds.runtime.matrix.data with parameters of type SparseBlock

Constructor	Description
MatrixBlock(int rl, int cl, long nnz, SparseBlock sblock)	Constructs a sparse MatrixBlock with a given instance of a SparseBlock

Uses of SparseBlock in org.apache.sysds.runtime.util

Methods in org.apache.sysds.runtime.util with parameters of type SparseBlock

Modifier and Type	Method	Description
static long	UtilFunctions.computeNnz(SparseBlock a, int[] aix, int ai, int alen)
long	ByteBufferDataInput.readSparseRows(int rlen, long nnz, SparseBlock rows)
long	FastBufferedDataInputStream.readSparseRows(int rlen, long nnz, SparseBlock rows)
void	FastBufferedDataOutputStream.writeSparseRows(int rlen, SparseBlock rows)