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

Reading from database using SQL prepared statement

A border layout lays out a container, arranging and resizing its components to
fit in five regions: 

java.awt.BorderLayout

Allows reading from and writing to a file in a random-access manner. This is
different from the uni-

java.io.RandomAccessFile

A controller for the selection of SelectableChannel objects. Selectable channels
can be registered w

java.nio.channels.Selector

 KeyStore is responsible for maintaining cryptographic keys and their owners. 
The type of the syste

java.security.KeyStore

 GregorianCalendar is a concrete subclass of Calendarand provides the standard
calendar used by most

java.util.GregorianCalendar

javax.swing.JTable

getApplicationContext

setRequestProperty

scheduleAtFixedRate

/**
     * <pre>
     * void
     * cublasCgbmv (char trans, int m, int n, int kl, int ku, cuComplex alpha,
     *              const cuComplex *A, int lda, const cuComplex *x, int incx, cuComplex beta,
     *              cuComplex *y, int incy);
     *
     * performs one of the matrix-vector operations
     *
     *    y = alpha*op(A)*x + beta*y,  op(A)=A or op(A) = transpose(A)
     *
     * alpha and beta are single precision complex scalars. x and y are single precision
     * complex vectors. A is an m by n band matrix consisting of single precision complex elements
     * with kl sub-diagonals and ku super-diagonals.
     *
     * Input
     * -----
     * trans  specifies op(A). If trans == 'N' or 'n', op(A) = A. If trans == 'T',
     *        or 't', op(A) = transpose(A). If trans == 'C' or 'c',
     *        op(A) = conjugate(transpose(A)).
     * m      specifies the number of rows of the matrix A. m must be at least
     *        zero.
     * n      specifies the number of columns of the matrix A. n must be at least
     *        zero.
     * kl     specifies the number of sub-diagonals of matrix A. It must be at
     *        least zero.
     * ku     specifies the number of super-diagonals of matrix A. It must be at
     *        least zero.
     * alpha  single precision complex scalar multiplier applied to op(A).
     * A      single precision complex array of dimensions (lda, n). The leading
     *        (kl + ku + 1) x n part of the array A must contain the band matrix A,
     *        supplied column by column, with the leading diagonal of the matrix
     *        in row (ku + 1) of the array, the first super-diagonal starting at
     *        position 2 in row ku, the first sub-diagonal starting at position 1
     *        in row (ku + 2), and so on. Elements in the array A that do not
     *        correspond to elements in the band matrix (such as the top left
     *        ku x ku triangle) are not referenced.
     * lda    leading dimension of A. lda must be at least (kl + ku + 1).
     * x      single precision complex array of length at least (1+(n-1)*abs(incx)) when
     *        trans == 'N' or 'n' and at least (1+(m-1)*abs(incx)) otherwise.
     * incx   specifies the increment for the elements of x. incx must not be zero.
     * beta   single precision complex scalar multiplier applied to vector y. If beta is
     *        zero, y is not read.
     * y      single precision complex array of length at least (1+(m-1)*abs(incy)) when
     *        trans == 'N' or 'n' and at least (1+(n-1)*abs(incy)) otherwise. If
     *        beta is zero, y is not read.
     * incy   On entry, incy specifies the increment for the elements of y. incy
     *        must not be zero.
     *
     * Output
     * ------
     * y      updated according to y = alpha*op(A)*x + beta*y
     *
     * Reference: http://www.netlib.org/blas/cgbmv.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 
   * cublasCgbmv (char trans, int m, int n, int kl, int ku, cuComplex alpha,
   *              const cuComplex *A, int lda, const cuComplex *x, int incx, cuComplex beta,
   *              cuComplex *y, int incy);
   *
   * performs one of the matrix-vector operations
   *
   *    y = alpha*op(A)*x + beta*y,  op(A)=A or op(A) = transpose(A)
   *
   * alpha and beta are single precision complex scalars. x and y are single precision
   * complex vectors. A is an m by n band matrix consisting of single precision complex elements
   * with kl sub-diagonals and ku super-diagonals.
   *
   * Input
   * -----
   * trans  specifies op(A). If trans == 'N' or 'n', op(A) = A. If trans == 'T', 
   *        or 't', op(A) = transpose(A). If trans == 'C' or 'c',
   *        op(A) = conjugate(transpose(A)).
   * m      specifies the number of rows of the matrix A. m must be at least 
   *        zero.
   * n      specifies the number of columns of the matrix A. n must be at least
   *        zero.
   * kl     specifies the number of sub-diagonals of matrix A. It must be at 
   *        least zero.
   * ku     specifies the number of super-diagonals of matrix A. It must be at
   *        least zero.
   * alpha  single precision complex scalar multiplier applied to op(A).
   * A      single precision complex array of dimensions (lda, n). The leading
   *        (kl + ku + 1) x n part of the array A must contain the band matrix A,
   *        supplied column by column, with the leading diagonal of the matrix 
   *        in row (ku + 1) of the array, the first super-diagonal starting at 
   *        position 2 in row ku, the first sub-diagonal starting at position 1
   *        in row (ku + 2), and so on. Elements in the array A that do not 
   *        correspond to elements in the band matrix (such as the top left 
   *        ku x ku triangle) are not referenced.
   * lda    leading dimension of A. lda must be at least (kl + ku + 1).
   * x      single precision complex array of length at least (1+(n-1)*abs(incx)) when 
   *        trans == 'N' or 'n' and at least (1+(m-1)*abs(incx)) otherwise.
   * incx   specifies the increment for the elements of x. incx must not be zero.
   * beta   single precision complex scalar multiplier applied to vector y. If beta is 
   *        zero, y is not read.
   * y      single precision complex array of length at least (1+(m-1)*abs(incy)) when 
   *        trans == 'N' or 'n' and at least (1+(n-1)*abs(incy)) otherwise. If 
   *        beta is zero, y is not read.
   * incy   On entry, incy specifies the increment for the elements of y. incy 
   *        must not be zero.
   *
   * Output
   * ------
   * y      updated according to y = alpha*op(A)*x + beta*y
   *
   * Reference: http://www.netlib.org/blas/cgbmv.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 cublasCgbmvNativemethodin jcuda.jcublas.JCublas

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

How to use
cublasCgbmvNative
method
in
jcuda.jcublas.JCublas