JCublasJava/src/main/java/jcuda/jcublas/JCublas.java
public static int cublasGetMatrix (int rows, int cols, Pointer A, int lda, cuDoubleComplex B[], int offsetB, int ldb)
    {
        ByteBuffer byteBufferB = ByteBuffer.allocateDirect(B.length * 8 * 2);
        byteBufferB.order(ByteOrder.nativeOrder());
        DoubleBuffer doubleBufferB = byteBufferB.asDoubleBuffer();
        int status = cublasGetMatrixNative(rows, cols, 16, A, lda, Pointer.to(doubleBufferB).withByteOffset(offsetB * 8 * 2), ldb);
        if (status == cublasStatus.CUBLAS_STATUS_SUCCESS)
        {
            doubleBufferB.rewind();
            for (int c=0; c<cols; c++)
            {
                for (int r=0; r<rows; r++)
                {
                    int index = c * ldb + r + offsetB;
                    B[index].x = doubleBufferB.get(index*2+0);
                    B[index].y = doubleBufferB.get(index*2+1);
                }
            }
        }
        return checkResult(status);
    }
public static int cublasGetMatrix (int rows, int cols, Pointer A, int lda, cuDoubleComplex B[], int offsetB, int ldb)
    {
        ByteBuffer byteBufferB = ByteBuffer.allocateDirect(B.length * 8 * 2);
        byteBufferB.order(ByteOrder.nativeOrder());
        DoubleBuffer doubleBufferB = byteBufferB.asDoubleBuffer();
        int status = cublasGetMatrixNative(rows, cols, 16, A, lda, Pointer.to(doubleBufferB).withByteOffset(offsetB * 8 * 2), ldb);
        if (status == cublasStatus.CUBLAS_STATUS_SUCCESS)
        {
            doubleBufferB.rewind();
            for (int c=0; c<cols; c++)
            {
                for (int r=0; r<rows; r++)
                {
                    int index = c * ldb + r + offsetB;
                    B[index].x = doubleBufferB.get(index*2+0);
                    B[index].y = doubleBufferB.get(index*2+1);
                }
            }
        }
        return checkResult(status);
    }
public static int cublasGetMatrix ( int rows , int cols , Pointer A , int lda , cuDoubleComplex B [ ] , int offsetB , int ldb ) { ByteBuffer byteBufferB = ByteBuffer . allocateDirect ( B . length * 8 * 2 ) ; byteBufferB . order ( ByteOrder . nativeOrder ( ) ) ; DoubleBuffer doubleBufferB = byteBufferB . asDoubleBuffer ( ) ; int status = cublasGetMatrixNative ( rows , cols , 16 , A , lda , Pointer . to ( doubleBufferB ) . withByteOffset ( offsetB * 8 * 2 ) , ldb ) ; if ( status == cublasStatus . CUBLAS_STATUS_SUCCESS ) { doubleBufferB . rewind ( ) ; for ( int c = 0 ; c < cols ; c ++ ) { for ( int r = 0 ; r < rows ; r ++ ) { int index = c * ldb + r + offsetB ; B [ index ] . x = doubleBufferB . get ( index * 2 + 0 ) ; B [ index ] . y = doubleBufferB . get ( index * 2 + 1 ) ; } } } return checkResult ( status ) ; }
Extended wrapper for arrays of cuDoubleComplex values. Note that this method
only exists for convenience and compatibility with native C code. It
is much more efficient to provide a Pointer to a double array that may
store the complex numbers, where each pair of consecutive numbers in
the array describes the real- and imaginary part of one complex number.

@see JCublas#cublasGetMatrix(int, int, int, Pointer, int, Pointer, int)
Extended wrapper for arrays of cuDoubleComplex values . Note that this method only exists for convenience and compatibility with native C code . It is much more efficient to provide a Pointer to a double array that may store the complex numbers where each pair of consecutive numbers in the array describes the real - and imaginary part of one complex number .