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/**
     * <pre>
     * void
     * cublasDspr2 (char uplo, int n, double alpha, const double *x, int incx,
     *              const double *y, int incy, double *AP)
     *
     * performs the symmetric rank 2 operation
     *
     *    A = alpha*x*transpose(y) + alpha*y*transpose(x) + A,
     *
     * where alpha is a double precision scalar, and x and y are n element double
     * precision vectors. A is a symmetric n x n matrix consisting of double
     * precision elements that is supplied in packed form.
     *
     * Input
     * -----
     * uplo   specifies whether the matrix data is stored in the upper or the lower
     *        triangular part of array A. If uplo == 'U' or 'u', then only the
     *        upper triangular part of A may be referenced and the lower triangular
     *        part of A is inferred. If uplo == 'L' or 'l', then only the lower
     *        triangular part of A may be referenced and the upper triangular part
     *        of A is inferred.
     * n      specifies the number of rows and columns of the matrix A. It must be
     *        at least zero.
     * alpha  double precision scalar multiplier applied to x * transpose(y) +
     *        y * transpose(x).
     * x      double precision array of length at least (1 + (n - 1) * abs (incx)).
     * incx   storage spacing between elements of x. incx must not be zero.
     * y      double precision array of length at least (1 + (n - 1) * abs (incy)).
     * incy   storage spacing between elements of y. incy must not be zero.
     * AP     double precision array with at least ((n * (n + 1)) / 2) elements. If
     *        uplo == 'U' or 'u', the array AP contains the upper triangular part
     *        of the symmetric matrix A, packed sequentially, column by column;
     *        that is, if i <= j, then A[i,j] is stored is AP[i+(j*(j+1)/2)]. If
     *        uplo == 'L' or 'L', the array AP contains the lower triangular part
     *        of the symmetric matrix A, packed sequentially, column by column;
     *        that is, if i >= j, then A[i,j] is stored in AP[i+((2*n-j+1)*j)/2].
     *
     * Output
     * ------
     * A      updated according to A = alpha*x*transpose(y)+alpha*y*transpose(x)+A
     *
     * Reference: http://www.netlib.org/blas/dspr2.f
     *
     * Error status for this function can be retrieved via cublasGetError().
     *
     * Error Status
     * ------------
     * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
     * CUBLAS_STATUS_INVALID_VALUE    if n < 0, incx == 0, incy == 0
     * CUBLAS_STATUS_ARCH_MISMATCH    if invoked on device without DP support
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre> 
   * void 
   * cublasDspr2 (char uplo, int n, double alpha, const double *x, int incx, 
   *              const double *y, int incy, double *AP)
   *
   * performs the symmetric rank 2 operation
   *
   *    A = alpha*x*transpose(y) + alpha*y*transpose(x) + A,
   *
   * where alpha is a double precision scalar, and x and y are n element double 
   * precision vectors. A is a symmetric n x n matrix consisting of double 
   * precision elements that is supplied in packed form.
   *
   * Input
   * -----
   * uplo   specifies whether the matrix data is stored in the upper or the lower
   *        triangular part of array A. If uplo == 'U' or 'u', then only the 
   *        upper triangular part of A may be referenced and the lower triangular
   *        part of A is inferred. If uplo == 'L' or 'l', then only the lower 
   *        triangular part of A may be referenced and the upper triangular part
   *        of A is inferred.
   * n      specifies the number of rows and columns of the matrix A. It must be
   *        at least zero.
   * alpha  double precision scalar multiplier applied to x * transpose(y) + 
   *        y * transpose(x).
   * x      double precision array of length at least (1 + (n - 1) * abs (incx)).
   * incx   storage spacing between elements of x. incx must not be zero.
   * y      double precision array of length at least (1 + (n - 1) * abs (incy)).
   * incy   storage spacing between elements of y. incy must not be zero.
   * AP     double precision array with at least ((n * (n + 1)) / 2) elements. If
   *        uplo == 'U' or 'u', the array AP contains the upper triangular part 
   *        of the symmetric matrix A, packed sequentially, column by column; 
   *        that is, if i <= j, then A[i,j] is stored is AP[i+(j*(j+1)/2)]. If 
   *        uplo == 'L' or 'L', the array AP contains the lower triangular part 
   *        of the symmetric matrix A, packed sequentially, column by column; 
   *        that is, if i >= j, then A[i,j] is stored in AP[i+((2*n-j+1)*j)/2].
   *
   * Output
   * ------
   * A      updated according to A = alpha*x*transpose(y)+alpha*y*transpose(x)+A
   *
   * Reference: http://www.netlib.org/blas/dspr2.f
   *
   * Error status for this function can be retrieved via cublasGetError().
   *
   * Error Status
   * ------------
   * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library has not been initialized
   * CUBLAS_STATUS_INVALID_VALUE    if n < 0, incx == 0, incy == 0
   * CUBLAS_STATUS_ARCH_MISMATCH    if invoked on device without DP support 
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasDspr2Nativemethodin jcuda.jcublas.JCublas

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How to use
cublasDspr2Native
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jcuda.jcublas.JCublas