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

Creating JSON documents from java classes using gson

java.awt.Menu

This exception is thrown when a timeout expired on a socket read or accept
operation.

java.net.SocketTimeoutException

javax.swing.JFileChooser

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

org.hibernate.loader.Loader

Factory that creates instances of DateTimeFormatter from patterns and styles. 
Datetime formatting i

org.joda.time.format.DateTimeFormat

org.openjdk.jmh.runner.Runner

Return the original filename in the client's filesystem.This may contain path
information depending 

getOriginalFilename

startActivity

setRequestProperty

/**
     * <pre>
     * void
     * cublasDaxpy (int n, double alpha, const double *x, int incx, double *y,
     *              int incy)
     *
     * multiplies double-precision vector x by double-precision scalar alpha
     * and adds the result to double-precision vector y; that is, it overwrites
     * double-precision y with double-precision alpha * x + y. For i = 0 to n-1,
     * it replaces y[ly + i * incy] with alpha * x[lx + i * incx] + y[ly + i*incy],
     * where lx = 1 if incx >= 0, else lx = 1 + (1 - n) * incx; ly is defined in a
     * similar way using incy.
     *
     * Input
     * -----
     * n      number of elements in input vectors
     * alpha  double-precision scalar multiplier
     * x      double-precision vector with n elements
     * incx   storage spacing between elements of x
     * y      double-precision vector with n elements
     * incy   storage spacing between elements of y
     *
     * Output
     * ------
     * y      double-precision result (unchanged if n <= 0)
     *
     * Reference: http://www.netlib.org/blas/daxpy.f
     *
     * Error status for this function can be retrieved via cublasGetError().
     *
     * Error Status
     * ------------
     * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library was not initialized
     * 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
   * cublasDaxpy (int n, double alpha, const double *x, int incx, double *y, 
   *              int incy)
   *
   * multiplies double-precision vector x by double-precision scalar alpha 
   * and adds the result to double-precision vector y; that is, it overwrites 
   * double-precision y with double-precision alpha * x + y. For i = 0 to n-1,
   * it replaces y[ly + i * incy] with alpha * x[lx + i * incx] + y[ly + i*incy],
   * where lx = 1 if incx >= 0, else lx = 1 + (1 - n) * incx; ly is defined in a 
   * similar way using incy.
   *
   * Input
   * -----
   * n      number of elements in input vectors
   * alpha  double-precision scalar multiplier
   * x      double-precision vector with n elements
   * incx   storage spacing between elements of x
   * y      double-precision vector with n elements
   * incy   storage spacing between elements of y
   *
   * Output
   * ------
   * y      double-precision result (unchanged if n <= 0)
   *
   * Reference: http://www.netlib.org/blas/daxpy.f
   *
   * Error status for this function can be retrieved via cublasGetError().
   *
   * Error Status
   * ------------
   * CUBLAS_STATUS_NOT_INITIALIZED  if CUBLAS library was not initialized
   * 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 cublasDaxpyNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDaxpyNative
method
in
jcuda.jcublas.JCublas