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

Making http post requests using okhttp

 A Java virtual machine.

 A VirtualMachine represents a Java virtual machine to which this Java vir

com.sun.tools.attach.VirtualMachine

A Window object is a top-level window with no borders and no menubar. The
default layout for a windo

java.awt.Window

Thrown when a program encounters the end of a file or stream during an input
operation.

java.io.EOFException

HashMap is an implementation of Map. All optional operations are supported.All
elements are permitte

java.util.HashMap

A Set is a data structure which does not allow duplicate elements.

java.util.Set

scala.Option

getResourceAsStream

runOnUiThread

getApplicationContext

/**
     * <pre>
     * void
     * cublasZgbmv (char trans, int m, int n, int kl, int ku, cuDoubleComplex alpha,
     *              const cuDoubleComplex *A, int lda, const cuDoubleComplex *x, int incx, cuDoubleComplex beta,
     *              cuDoubleComplex *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 double precision complex scalars. x and y are double precision
     * complex vectors. A is an m by n band matrix consisting of double 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  double precision complex scalar multiplier applied to op(A).
     * A      double 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      double 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   double precision complex scalar multiplier applied to vector y. If beta is
     *        zero, y is not read.
     * y      double 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/zgbmv.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_ARCH_MISMATCH    if invoked on device without DP support
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasZgbmv (char trans, int m, int n, int kl, int ku, cuDoubleComplex alpha,
   *              const cuDoubleComplex *A, int lda, const cuDoubleComplex *x, int incx, cuDoubleComplex beta,
   *              cuDoubleComplex *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 double precision complex scalars. x and y are double precision
   * complex vectors. A is an m by n band matrix consisting of double 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  double precision complex scalar multiplier applied to op(A).
   * A      double 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      double 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   double precision complex scalar multiplier applied to vector y. If beta is 
   *        zero, y is not read.
   * y      double 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/zgbmv.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_ARCH_MISMATCH    if invoked on device without DP support  
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasZgbmvNativemethodin jcuda.jcublas.JCublas

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

How to use
cublasZgbmvNative
method
in
jcuda.jcublas.JCublas