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

Start an intent from android

This class represents a server-side socket that waits for incoming client
connections. A ServerSocke

java.net.ServerSocket

A connection to a URL for reading or writing. For HTTP connections, see
HttpURLConnection for docume

java.net.URLConnection

A charset is a named mapping between Unicode characters and byte sequences.
Every Charset can decode

java.nio.charset.Charset

java.nio.file.Path

Provides an abstract class to be subclassed to create an HTTP servlet suitable
for a Web site. A sub

javax.servlet.http.HttpServlet

Defines the contract between a returned instance and the runtime when an
application needs to provid

javax.ws.rs.core.Response

getSharedPreferences

getExternalFilesDir

compareTo

/**
     * <pre>
     * cublasZgemv (char trans, int m, int n, 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,
     *
     * where op(A) is one of
     *
     *    op(A) = A   or   op(A) = transpose(A)
     *
     * where alpha and beta are double precision scalars, x and y are double
     * precision vectors, and A is an m x n matrix consisting of double precision
     * elements. Matrix A is stored in column major format, and lda is the leading
     * dimension of the two-dimensional array in which A is stored.
     *
     * Input
     * -----
     * trans  specifies op(A). If transa = 'n' or 'N', op(A) = A. If trans =
     *        trans = 't', 'T', 'c', or 'C', op(A) = 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.
     * alpha  double precision scalar multiplier applied to op(A).
     * A      double precision array of dimensions (lda, n) if trans = 'n' or
     *        'N'), and of dimensions (lda, m) otherwise. lda must be at least
     *        max(1, m) and at least max(1, n) otherwise.
     * lda    leading dimension of two-dimensional array used to store matrix A
     * x      double precision 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 storage spacing between elements of x. incx must not
     *        be zero.
     * beta   double precision scalar multiplier applied to vector y. If beta
     *        is zero, y is not read.
     * y      double precision array of length at least (1 + (m - 1) * abs(incy))
     *        when trans = 'N' or 'n' and at least (1 + (n - 1) * abs(incy))
     *        otherwise.
     * incy   specifies the storage spacing between elements of x. incx must not
     *        be zero.
     *
     * Output
     * ------
     * y      updated according to alpha * op(A) * x + beta * y
     *
     * Reference: http://www.netlib.org/blas/zgemv.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 m or n are < 0, or if incx or incy == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * cublasZgemv (char trans, int m, int n, 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,
   *
   * where op(A) is one of
   *
   *    op(A) = A   or   op(A) = transpose(A)
   *
   * where alpha and beta are double precision scalars, x and y are double 
   * precision vectors, and A is an m x n matrix consisting of double precision
   * elements. Matrix A is stored in column major format, and lda is the leading
   * dimension of the two-dimensional array in which A is stored.
   *
   * Input
   * -----
   * trans  specifies op(A). If transa = 'n' or 'N', op(A) = A. If trans =
   *        trans = 't', 'T', 'c', or 'C', op(A) = 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.
   * alpha  double precision scalar multiplier applied to op(A).
   * A      double precision array of dimensions (lda, n) if trans = 'n' or 
   *        'N'), and of dimensions (lda, m) otherwise. lda must be at least 
   *        max(1, m) and at least max(1, n) otherwise.
   * lda    leading dimension of two-dimensional array used to store matrix A
   * x      double precision 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 storage spacing between elements of x. incx must not 
   *        be zero.
   * beta   double precision scalar multiplier applied to vector y. If beta 
   *        is zero, y is not read.
   * y      double precision array of length at least (1 + (m - 1) * abs(incy))
   *        when trans = 'N' or 'n' and at least (1 + (n - 1) * abs(incy)) 
   *        otherwise.
   * incy   specifies the storage spacing between elements of x. incx must not
   *        be zero.
   *
   * Output
   * ------
   * y      updated according to alpha * op(A) * x + beta * y
   *
   * Reference: http://www.netlib.org/blas/zgemv.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 m or n are < 0, or if incx or incy == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasZgemvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasZgemvNative
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jcuda.jcublas.JCublas