Public

If the given result is different to cublasStatus.CUBLAS_STATUS_SUCCESS and
exceptions have been enab

checkResult

Obtain the current CUBLAS status by calling cublasGetErrorNative, and store the
result as the lastRe

checkResultBLAS

cublasAllocNative

cublasCaxpyNative

cublasCcopyNative

cublasCdotcNative

cublasCdotuNative

cublasCgbmvNative

cublasCgemmNative

cublasCgemvNative

cublasCgercNative

cublasCgeruNative

cublasChbmvNative

cublasChemmNative

cublasChemvNative

cublasCher2Native

cublasCher2kNative

cublasCherNative

cublasCherkNative

cublasChpr2Native

Updating database using SQL prepared statement

The GridLayout class is a layout manager that lays out a container's components
in a rectangular gri

java.awt.GridLayout

An output stream that writes bytes to a file. If the output file exists, it can
be replaced or appen

java.io.FileOutputStream

ArrayList is an implementation of List, backed by an array. All optional
operations including adding

java.util.ArrayList

javax.swing.BoxLayout

javax.swing.JList

Abstract superclass of object loading (and querying) strategies. This class
implements useful common

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getSupportFragmentManager

/**
     * <pre>
     * void cublasCher2 (char uplo, int n, cuComplex alpha, const cuComplex *x, int incx,
     *                   const cuComplex *y, int incy, cuComplex *A, int lda)
     *
     * performs the hermitian rank 2 operation
     *
     *    A = alpha*x*conjugate(transpose(y)) + conjugate(alpha)*y*conjugate(transpose(x)) + A,
     *
     * where alpha is a single precision complex scalar, x and y are n element single
     * precision complex vector and A is an n by n hermitian matrix consisting of single
     * precision complex elements.
     *
     * 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  single precision complex scalar multiplier applied to x * conjugate(transpose(y)) +
     *        y * conjugate(transpose(x)).
     * 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.
     * y      single precision array of length at least (1 + (n - 1) * abs (incy)).
     * incy   storage spacing between elements of y. incy must not be zero.
     * A      single precision complex array of dimensions (lda, n). If uplo == 'U' or 'u',
     *        then A must contains the upper triangular part of a hermitian matrix,
     *        and the strictly lower triangular parts is not referenced. If uplo ==
     *        'L' or 'l', then A contains the lower triangular part of a hermitian
     *        matrix, and the strictly upper triangular part is not referenced.
     *        The imaginary parts of the diagonal elements need not be set,
     *        they are assumed to be zero, and on exit they are set to zero.
     *
     * lda    leading dimension of A. It must be at least max(1, n).
     *
     * Output
     * ------
     * A      updated according to A = alpha*x*conjugate(transpose(y))
     *                               + conjugate(alpha)*y*conjugate(transpose(x))+A
     *
     * Reference: http://www.netlib.org/blas/cher2.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_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void cublasCher2 (char uplo, int n, cuComplex alpha, const cuComplex *x, int incx, 
   *                   const cuComplex *y, int incy, cuComplex *A, int lda)
   *
   * performs the hermitian rank 2 operation
   *
   *    A = alpha*x*conjugate(transpose(y)) + conjugate(alpha)*y*conjugate(transpose(x)) + A,
   *
   * where alpha is a single precision complex scalar, x and y are n element single 
   * precision complex vector and A is an n by n hermitian matrix consisting of single 
   * precision complex elements.
   * 
   * 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  single precision complex scalar multiplier applied to x * conjugate(transpose(y)) + 
   *        y * conjugate(transpose(x)).
   * 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.
   * y      single precision array of length at least (1 + (n - 1) * abs (incy)).
   * incy   storage spacing between elements of y. incy must not be zero.
   * A      single precision complex array of dimensions (lda, n). If uplo == 'U' or 'u',
   *        then A must contains the upper triangular part of a hermitian matrix,
   *        and the strictly lower triangular parts is not referenced. If uplo ==
   *        'L' or 'l', then A contains the lower triangular part of a hermitian 
   *        matrix, and the strictly upper triangular part is not referenced.
   *        The imaginary parts of the diagonal elements need not be set, 
   *        they are assumed to be zero, and on exit they are set to zero. 
   *
   * lda    leading dimension of A. It must be at least max(1, n).
   *
   * Output
   * ------
   * A      updated according to A = alpha*x*conjugate(transpose(y))
   *                               + conjugate(alpha)*y*conjugate(transpose(x))+A
   *
   * Reference: http://www.netlib.org/blas/cher2.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_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasCher2Nativemethodin jcuda.jcublas.JCublas

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How to use
cublasCher2Native
method
in
jcuda.jcublas.JCublas