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/**
     * <pre>
     * void
     * cublasSspmv (char uplo, int n, float alpha, const float *AP, const float *x,
     *              int incx, float beta, float *y, int incy)
     *
     * performs the matrix-vector operation
     *
     *    y = alpha * A * x + beta * y
     *
     * Alpha and beta are single precision scalars, and x and y are single
     * precision vectors with n elements. A is a symmetric n x n matrix
     * consisting of single 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 AP. If uplo == 'U' or 'u', then the upper
     *        triangular part of A is supplied in AP. If uplo == 'L' or 'l', then
     *        the lower triangular part of A is supplied in AP.
     * n      specifies the number of rows and columns of the matrix A. It must be
     *        at least zero.
     * alpha  single precision scalar multiplier applied to A*x.
     * AP     single 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].
     * x      single precision array of length at least (1 + (n - 1) * abs(incx)).
     * incx   storage spacing between elements of x. incx must not be zero.
     * beta   single precision scalar multiplier applied to vector y;
     * y      single precision array of length at least (1 + (n - 1) * abs(incy)).
     *        If beta is zero, y is not read.
     * incy   storage spacing between elements of y. incy must not be zero.
     *
     * Output
     * ------
     * y      updated according to y = alpha*A*x + beta*y
     *
     * Reference: http://www.netlib.org/blas/sspmv.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, or if incx or incy == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasSspmv (char uplo, int n, float alpha, const float *AP, const float *x,
   *              int incx, float beta, float *y, int incy)
   *
   * performs the matrix-vector operation
   * 
   *    y = alpha * A * x + beta * y
   *
   * Alpha and beta are single precision scalars, and x and y are single 
   * precision vectors with n elements. A is a symmetric n x n matrix 
   * consisting of single 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 AP. If uplo == 'U' or 'u', then the upper 
   *        triangular part of A is supplied in AP. If uplo == 'L' or 'l', then 
   *        the lower triangular part of A is supplied in AP.
   * n      specifies the number of rows and columns of the matrix A. It must be
   *        at least zero.
   * alpha  single precision scalar multiplier applied to A*x.
   * AP     single 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].
   * x      single precision array of length at least (1 + (n - 1) * abs(incx)).
   * incx   storage spacing between elements of x. incx must not be zero.
   * beta   single precision scalar multiplier applied to vector y;
   * y      single precision array of length at least (1 + (n - 1) * abs(incy)). 
   *        If beta is zero, y is not read. 
   * incy   storage spacing between elements of y. incy must not be zero.
   *
   * Output
   * ------
   * y      updated according to y = alpha*A*x + beta*y
   *
   * Reference: http://www.netlib.org/blas/sspmv.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, or if incx or incy == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasSspmvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasSspmvNative
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