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

Gson

Finding current android device location

Thrown when a hostname can not be resolved.

java.net.UnknownHostException

The abstract base class for all number formats. This class provides the
interface for formatting and

java.text.NumberFormat

This class provides methods that return pseudo-random values.It is dangerous to
seed Random with the

java.util.Random

javax.swing.JTable

Factory for creating Log instances, with discovery and configuration features
similar to that employ

org.apache.commons.logging.LogFactory

The LoggerFactory is a utility class producing Loggers for various logging APIs,
most notably for lo

org.slf4j.LoggerFactory

scheduleAtFixedRate

compareTo

getSharedPreferences

/**
     * <pre>
     * void
     * cublasCher (char uplo, int n, float alpha, const cuComplex *x, int incx,
     *             cuComplex *A, int lda)
     *
     * performs the hermitian rank 1 operation
     *
     *    A = alpha * x * conjugate(transpose(x)) + A,
     *
     * where alpha is a single precision real scalar, x is an n element single
     * precision complex vector and A is an n x n hermitian matrix consisting of
     * single precision complex elements. Matrix A is stored in column major format,
     * and lda is the leading dimension of the two-dimensional array
     * containing A.
     *
     * 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.
     *        If uplo = 'L' or 'l', then only the lower triangular part of
     *        A may be referenced.
     * n      specifies the number of rows and columns of the matrix A. It
     *        must be at least 0.
     * alpha  single precision real scalar multiplier applied to
     *        x * conjugate(transpose(x))
     * x      single precision complex array of length at least (1 + (n - 1) * abs(incx))
     * incx   specifies the storage spacing between elements of x. incx must
     *        not be zero.
     * A      single precision complex array of dimensions (lda, n). If uplo = 'U' or
     *        'u', then A must contain the upper triangular part of a hermitian
     *        matrix, and the strictly lower triangular part 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 the two-dimensional array containing A. lda
     *        must be at least max(1, n).
     *
     * Output
     * ------
     * A      updated according to A = alpha * x * conjugate(transpose(x)) + A
     *
     * Reference: http://www.netlib.org/blas/cher.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 incx == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasCher (char uplo, int n, float alpha, const cuComplex *x, int incx, 
   *             cuComplex *A, int lda)
   *
   * performs the hermitian rank 1 operation
   *
   *    A = alpha * x * conjugate(transpose(x)) + A,
   *
   * where alpha is a single precision real scalar, x is an n element single 
   * precision complex vector and A is an n x n hermitian matrix consisting of 
   * single precision complex elements. Matrix A is stored in column major format,
   * and lda is the leading dimension of the two-dimensional array 
   * containing A.
   *
   * 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.
   *        If uplo = 'L' or 'l', then only the lower triangular part of
   *        A may be referenced.
   * n      specifies the number of rows and columns of the matrix A. It
   *        must be at least 0.
   * alpha  single precision real scalar multiplier applied to 
   *        x * conjugate(transpose(x))
   * x      single precision complex array of length at least (1 + (n - 1) * abs(incx))
   * incx   specifies the storage spacing between elements of x. incx must 
   *        not be zero.
   * A      single precision complex array of dimensions (lda, n). If uplo = 'U' or 
   *        'u', then A must contain the upper triangular part of a hermitian 
   *        matrix, and the strictly lower triangular part 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 the two-dimensional array containing A. lda
   *        must be at least max(1, n).
   *
   * Output
   * ------
   * A      updated according to A = alpha * x * conjugate(transpose(x)) + A
   *
   * Reference: http://www.netlib.org/blas/cher.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 incx == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasCherNativemethodin jcuda.jcublas.JCublas

Best Java code snippets using jcuda.jcublas.JCublas.cublasCherNative (Showing top 6 results out of 315)

How to use
cublasCherNative
method
in
jcuda.jcublas.JCublas