Package org.ejml.dense.row.misc

Class TransposeAlgs_FDRM

java.lang.Object

org.ejml.dense.row.misc.TransposeAlgs_FDRM

@Generated("org.ejml.dense.row.misc.TransposeAlgs_DDRM")
public class TransposeAlgs_FDRM
extends Object

Low level transpose algorithms. No sanity checks are performed. Take a look at BenchmarkTranspose to see which one is faster on your computer.

Constructor Summary

Constructors

Constructor	Description
TransposeAlgs_FDRM()

Method Summary

Modifier and Type	Method	Description
static void	block(FMatrix1Row A, FMatrix1Row A_tran, int blockLength)	Performs a transpose across block sub-matrices.
static void	square(FMatrix1Row A)	In-place transpose for a square matrix.
static void	standard(FMatrix1Row A, FMatrix1Row A_tran)	A straight forward transpose.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

TransposeAlgs_FDRM

public TransposeAlgs_FDRM()

Method Details

square

public static void square(FMatrix1Row A)

In-place transpose for a square matrix. On most architectures it is faster than the standard transpose algorithm, but on most modern computers it's slower than block transpose.

Parameters:

A - The matrix that is transposed in-place. Modified.

block

public static void block(FMatrix1Row A,
 FMatrix1Row A_tran,
 int blockLength)

Performs a transpose across block sub-matrices. Reduces the number of cache misses on larger matrices. *NOTE* If this is beneficial is highly dependent on the computer it is run on. e.g: - Q6600 Almost twice as fast as standard. - Pentium-M Same speed and some times a bit slower than standard.

Parameters:

A - Original matrix. Not modified.

A_tran - Transposed matrix. Modified.

blockLength - Length of a block.

standard

public static void standard(FMatrix1Row A,
 FMatrix1Row A_tran)

A straight forward transpose. Good for small non-square matrices.

Parameters:

A - Original matrix. Not modified.

A_tran - Transposed matrix. Modified.