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

A Comparator is used to compare two objects to determine their ordering with
respect to each other. 

java.util.Comparator

An Executor that provides methods to manage termination and methods that can
produce a Future for tr

java.util.concurrent.ExecutorService

javax.swing.JList

javax.swing.JOptionPane

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

Return the contained value, if present, otherwise throw an exception to be
created by the provided s

orElseThrow

onRequestPermissionsResult

runOnUiThread

/**
     * <pre>
     * void
     * cublasSaxpy (int n, float alpha, const float *x, int incx, float *y,
     *              int incy)
     *
     * multiplies single precision vector x by single precision scalar alpha
     * and adds the result to single precision vector y; that is, it overwrites
     * single precision y with single 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, and ly is
     * defined in a similar way using incy.
     *
     * Input
     * -----
     * n      number of elements in input vectors
     * alpha  single precision scalar multiplier
     * x      single precision vector with n elements
     * incx   storage spacing between elements of x
     * y      single precision vector with n elements
     * incy   storage spacing between elements of y
     *
     * Output
     * ------
     * y      single precision result (unchanged if n <= 0)
     *
     * Reference: http://www.netlib.org/blas/saxpy.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_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void
   * cublasSaxpy (int n, float alpha, const float *x, int incx, float *y, 
   *              int incy)
   *
   * multiplies single precision vector x by single precision scalar alpha 
   * and adds the result to single precision vector y; that is, it overwrites 
   * single precision y with single 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, and ly is 
   * defined in a similar way using incy.
   *
   * Input
   * -----
   * n      number of elements in input vectors
   * alpha  single precision scalar multiplier
   * x      single precision vector with n elements
   * incx   storage spacing between elements of x
   * y      single precision vector with n elements
   * incy   storage spacing between elements of y
   *
   * Output
   * ------
   * y      single precision result (unchanged if n <= 0)
   *
   * Reference: http://www.netlib.org/blas/saxpy.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_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasSaxpyNativemethodin jcuda.jcublas.JCublas

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How to use
cublasSaxpyNative
method
in
jcuda.jcublas.JCublas