Package jdistlib.accelerator

Interface SinglePrecisionLinearAlgebraBackend

All Known Subinterfaces:

ComputeBackend

All Known Implementing Classes:

CpuComputeBackend

public interface SinglePrecisionLinearAlgebraBackend

Backend-neutral FP32 BLAS, sparse-BLAS, and reusable factorization surface. Dense matrices use row-major storage. Reduction order and final rounding may differ between providers.

Method Summary

Modifier and Type	Method	Description
default int	isamax(int count, float[] x, int offset, int stride)	Returns the zero-based logical index of the first absolute maximum, or -1 when empty.
default PreparedFloatCsrMatrix	prepareScsr(FloatCsrMatrix matrix)
default PreparedFloatSparseCholesky	prepareScsrpotrf(FloatCsrMatrix matrix, MatrixTriangle triangle)
default PreparedFloatSparseCholesky	prepareScsrpotrf(FloatCsrMatrix matrix, MatrixTriangle triangle, SparseOrdering ordering)
default PreparedFloatDenseMatrix	prepareSge(float[] matrix, int rows, int columns)
default float	sasum(int count, float[] x, int offset, int stride)
default void	saxpy(int count, float alpha, float[] x, int xOffset, int xStride, float[] y, int yOffset, int yStride)
default void	scopy(int count, float[] x, int xOffset, int xStride, float[] y, int yOffset, int yStride)
default FloatCsrMatrix	scsrgemm(FloatCsrMatrix left, FloatCsrMatrix right)
default void	scsrmm(float alpha, FloatCsrMatrix matrix, float[] right, int rightColumns, float beta, float[] result)
default void	scsrmv(float alpha, FloatCsrMatrix matrix, float[] x, float beta, float[] y)
default FloatSparseCholeskyFactor	scsrpotrf(FloatCsrMatrix matrix, MatrixTriangle triangle)
default FloatSparseCholeskyFactor	scsrpotrf(FloatCsrMatrix matrix, MatrixTriangle triangle, SparseOrdering ordering)
default void	scsrsv(MatrixTriangle triangle, MatrixTranspose transpose, MatrixDiagonal diagonal, FloatCsrMatrix matrix, float[] vector)
default float	sdot(int count, float[] x, int xOffset, int xStride, float[] y, int yOffset, int yStride)
default void	sgemm(MatrixTranspose leftTranspose, MatrixTranspose rightTranspose, int rows, int columns, int shared, float alpha, float[] left, float[] right, float beta, float[] result)
default void	sgemm(MatrixTranspose leftTranspose, MatrixTranspose rightTranspose, int rows, int columns, int shared, float alpha, float[] left, int leftOffset, int leftLeadingDimension, float[] right, int rightOffset, int rightLeadingDimension, float beta, float[] result, int resultOffset, int resultLeadingDimension)	Region-aware GEMM with row-major offsets and leading dimensions.
default void	sgemmBatched(MatrixTranspose leftTranspose, MatrixTranspose rightTranspose, int rows, int columns, int shared, float alpha, float[][] left, float[][] right, float beta, float[][] result)
default void	sgemv(MatrixTranspose transpose, int rows, int columns, float alpha, float[] matrix, float[] x, float beta, float[] y)
default void	sgemv(MatrixTranspose transpose, int rows, int columns, float alpha, float[] matrix, int matrixOffset, int matrixLeadingDimension, float[] x, int xOffset, int xStride, float beta, float[] y, int yOffset, int yStride)	Region-aware GEMV with a row-major leading dimension and strided vectors.
default FloatPivotedQrFactor	sgeqp3(float[] matrix, int rows, int columns)
default void	sger(int rows, int columns, float alpha, float[] x, int xOffset, int xStride, float[] y, int yOffset, int yStride, float[] matrix)
default FloatSingularValueDecomposition	sgesvd(float[] matrix, int rows, int columns)
default FloatLuFactor	sgetrf(float[] matrix, int dimension)
default FloatLuFactor[]	sgetrfBatched(float[][] matrices, int dimension)
default float	snrm2(int count, float[] x, int offset, int stride)
default FloatCholeskyFactor	spotrf(float[] matrix, int dimension)
default FloatCholeskyFactor[]	spotrfBatched(float[][] matrices, int dimension)
default void	sscal(int count, float alpha, float[] x, int offset, int stride)
default void	sswap(int count, float[] x, int xOffset, int xStride, float[] y, int yOffset, int yStride)
default FloatSymmetricEigenDecomposition	ssyev(float[] matrix, int dimension)
default FloatSymmetricEigenDecomposition	ssygvd(float[] matrix, float[] metric, int dimension)
default void	ssymm(MatrixSide side, MatrixTriangle triangle, int rows, int columns, float alpha, float[] symmetric, float[] right, float beta, float[] result)
default void	ssyr(MatrixTriangle triangle, int dimension, float alpha, float[] x, int offset, int stride, float[] matrix)
default void	ssyr2(MatrixTriangle triangle, int dimension, float alpha, float[] x, int xOffset, int xStride, float[] y, int yOffset, int yStride, float[] matrix)
default void	ssyr2k(MatrixTriangle triangle, MatrixTranspose transpose, int dimension, int shared, float alpha, float[] left, float[] right, float beta, float[] result)
default void	ssyrk(MatrixTranspose transpose, int dimension, int shared, float alpha, float[] matrix, float beta, float[] result)
default void	ssyrk(MatrixTranspose transpose, int dimension, int shared, float alpha, float[] matrix, int matrixOffset, int matrixLeadingDimension, float beta, float[] result, int resultOffset, int resultLeadingDimension)
default FloatSymmetricIndefiniteFactor	ssytrf(float[] matrix, int dimension)
default void	strsm(MatrixSide side, MatrixTriangle triangle, MatrixTranspose transpose, MatrixDiagonal diagonal, int rows, int columns, float alpha, float[] matrix, float[] right)
default void	strsm(MatrixSide side, MatrixTriangle triangle, MatrixTranspose transpose, MatrixDiagonal diagonal, int rows, int columns, float alpha, float[] matrix, int matrixOffset, int matrixLeadingDimension, float[] right, int rightOffset, int rightLeadingDimension)	Region-aware triangular multi-right-side solve.
default void	strsv(MatrixTriangle triangle, MatrixTranspose transpose, MatrixDiagonal diagonal, int dimension, float[] matrix, float[] vector)

Method Details

sscal

default void sscal(int count,
 float alpha,
 float[] x,
 int offset,
 int stride)

scopy

default void scopy(int count,
 float[] x,
 int xOffset,
 int xStride,
 float[] y,
 int yOffset,
 int yStride)

sswap

default void sswap(int count,
 float[] x,
 int xOffset,
 int xStride,
 float[] y,
 int yOffset,
 int yStride)

sasum

default float sasum(int count,
 float[] x,
 int offset,
 int stride)

isamax

default int isamax(int count,
 float[] x,
 int offset,
 int stride)

Returns the zero-based logical index of the first absolute maximum, or -1 when empty.

saxpy

default void saxpy(int count,
 float alpha,
 float[] x,
 int xOffset,
 int xStride,
 float[] y,
 int yOffset,
 int yStride)

sdot

default float sdot(int count,
 float[] x,
 int xOffset,
 int xStride,
 float[] y,
 int yOffset,
 int yStride)

snrm2

default float snrm2(int count,
 float[] x,
 int offset,
 int stride)

sgemv

default void sgemv(MatrixTranspose transpose,
 int rows,
 int columns,
 float alpha,
 float[] matrix,
 float[] x,
 float beta,
 float[] y)

sgemv

default void sgemv(MatrixTranspose transpose,
 int rows,
 int columns,
 float alpha,
 float[] matrix,
 int matrixOffset,
 int matrixLeadingDimension,
 float[] x,
 int xOffset,
 int xStride,
 float beta,
 float[] y,
 int yOffset,
 int yStride)

Region-aware GEMV with a row-major leading dimension and strided vectors.

sgemm

default void sgemm(MatrixTranspose leftTranspose,
 MatrixTranspose rightTranspose,
 int rows,
 int columns,
 int shared,
 float alpha,
 float[] left,
 float[] right,
 float beta,
 float[] result)

sgemm

default void sgemm(MatrixTranspose leftTranspose,
 MatrixTranspose rightTranspose,
 int rows,
 int columns,
 int shared,
 float alpha,
 float[] left,
 int leftOffset,
 int leftLeadingDimension,
 float[] right,
 int rightOffset,
 int rightLeadingDimension,
 float beta,
 float[] result,
 int resultOffset,
 int resultLeadingDimension)

Region-aware GEMM with row-major offsets and leading dimensions.

sgemmBatched

default void sgemmBatched(MatrixTranspose leftTranspose,
 MatrixTranspose rightTranspose,
 int rows,
 int columns,
 int shared,
 float alpha,
 float[][] left,
 float[][] right,
 float beta,
 float[][] result)

sger

default void sger(int rows,
 int columns,
 float alpha,
 float[] x,
 int xOffset,
 int xStride,
 float[] y,
 int yOffset,
 int yStride,
 float[] matrix)

ssyr

default void ssyr(MatrixTriangle triangle,
 int dimension,
 float alpha,
 float[] x,
 int offset,
 int stride,
 float[] matrix)

ssyr2

default void ssyr2(MatrixTriangle triangle,
 int dimension,
 float alpha,
 float[] x,
 int xOffset,
 int xStride,
 float[] y,
 int yOffset,
 int yStride,
 float[] matrix)

ssyrk

default void ssyrk(MatrixTranspose transpose,
 int dimension,
 int shared,
 float alpha,
 float[] matrix,
 float beta,
 float[] result)

ssyrk

default void ssyrk(MatrixTranspose transpose,
 int dimension,
 int shared,
 float alpha,
 float[] matrix,
 int matrixOffset,
 int matrixLeadingDimension,
 float beta,
 float[] result,
 int resultOffset,
 int resultLeadingDimension)

ssyr2k

default void ssyr2k(MatrixTriangle triangle,
 MatrixTranspose transpose,
 int dimension,
 int shared,
 float alpha,
 float[] left,
 float[] right,
 float beta,
 float[] result)

ssymm

default void ssymm(MatrixSide side,
 MatrixTriangle triangle,
 int rows,
 int columns,
 float alpha,
 float[] symmetric,
 float[] right,
 float beta,
 float[] result)

strsv

default void strsv(MatrixTriangle triangle,
 MatrixTranspose transpose,
 MatrixDiagonal diagonal,
 int dimension,
 float[] matrix,
 float[] vector)

strsm

default void strsm(MatrixSide side,
 MatrixTriangle triangle,
 MatrixTranspose transpose,
 MatrixDiagonal diagonal,
 int rows,
 int columns,
 float alpha,
 float[] matrix,
 float[] right)

strsm

default void strsm(MatrixSide side,
 MatrixTriangle triangle,
 MatrixTranspose transpose,
 MatrixDiagonal diagonal,
 int rows,
 int columns,
 float alpha,
 float[] matrix,
 int matrixOffset,
 int matrixLeadingDimension,
 float[] right,
 int rightOffset,
 int rightLeadingDimension)

Region-aware triangular multi-right-side solve.

scsrmv

default void scsrmv(float alpha,
 FloatCsrMatrix matrix,
 float[] x,
 float beta,
 float[] y)

scsrmm

default void scsrmm(float alpha,
 FloatCsrMatrix matrix,
 float[] right,
 int rightColumns,
 float beta,
 float[] result)

scsrgemm

default FloatCsrMatrix scsrgemm(FloatCsrMatrix left,
 FloatCsrMatrix right)

scsrsv

default void scsrsv(MatrixTriangle triangle,
 MatrixTranspose transpose,
 MatrixDiagonal diagonal,
 FloatCsrMatrix matrix,
 float[] vector)

prepareScsr

default PreparedFloatCsrMatrix prepareScsr(FloatCsrMatrix matrix)

prepareSge

default PreparedFloatDenseMatrix prepareSge(float[] matrix,
 int rows,
 int columns)

scsrpotrf

default FloatSparseCholeskyFactor scsrpotrf(FloatCsrMatrix matrix,
 MatrixTriangle triangle,
 SparseOrdering ordering)

scsrpotrf

default FloatSparseCholeskyFactor scsrpotrf(FloatCsrMatrix matrix,
 MatrixTriangle triangle)

prepareScsrpotrf

default PreparedFloatSparseCholesky prepareScsrpotrf(FloatCsrMatrix matrix,
 MatrixTriangle triangle,
 SparseOrdering ordering)

prepareScsrpotrf

default PreparedFloatSparseCholesky prepareScsrpotrf(FloatCsrMatrix matrix,
 MatrixTriangle triangle)

spotrf

default FloatCholeskyFactor spotrf(float[] matrix,
 int dimension)

spotrfBatched

default FloatCholeskyFactor[] spotrfBatched(float[][] matrices,
 int dimension)

sgetrf

default FloatLuFactor sgetrf(float[] matrix,
 int dimension)

sgetrfBatched

default FloatLuFactor[] sgetrfBatched(float[][] matrices,
 int dimension)

ssytrf

default FloatSymmetricIndefiniteFactor ssytrf(float[] matrix,
 int dimension)

sgeqp3

default FloatPivotedQrFactor sgeqp3(float[] matrix,
 int rows,
 int columns)

ssyev

default FloatSymmetricEigenDecomposition ssyev(float[] matrix,
 int dimension)

ssygvd

default FloatSymmetricEigenDecomposition ssygvd(float[] matrix,
 float[] metric,
 int dimension)

sgesvd

default FloatSingularValueDecomposition sgesvd(float[] matrix,
 int rows,
 int columns)