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

Finding current android device location

 Collection is the root of the collection hierarchy. It defines operations on
data collections and t

java.util.Collection

A collection designed for holding elements prior to processing. Besides basic
java.util.Collection o

java.util.Queue

Timers schedule one-shot or recurring TimerTask for execution. Prefer
java.util.concurrent.Scheduled

java.util.Timer

The Modifier class provides static methods and constants to decode class and
member access modifiers

javassist.Modifier

The exception that is thrown when a handshake could not be completed
successfully.

javax.net.ssl.SSLHandshakeException

A filter is an object that performs filtering tasks on either the request to a
resource (a servlet o

javax.servlet.Filter

onRequestPermissionsResult

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

getOriginalFilename

setScale

/**
     * <pre>
     * float
     * cublasScnrm2 (int n, const cuComplex *x, int incx)
     *
     * computes the Euclidean norm of the single-complex n-vector x. This code
     * uses simple scaling to avoid intermediate underflow and overflow.
     *
     * Input
     * -----
     * n      number of elements in input vector
     * x      single-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * returns Euclidian norm (0 if n <= 0 or incx <= 0, or if an error occurs)
     *
     * Reference: http://www.netlib.org/blas/scnrm2.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>
     * int
     * cublasIsamin (int n, const float *x, int incx)
     *
     * finds the smallest index of the minimum magnitude element of single
     * precision vector x; that is, the result is the first i, i = 0 to n - 1,
     * that minimizes abs(x[1 + i * incx])).
     *
     * Input
     * -----
     * n      number of elements in input vector
     * x      single precision vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * returns the smallest index (0 if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/scilib/blass.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>
     * int
     * cublasIcamax (int n, const float *x, int incx)
     *
     * finds the smallest index of the element having maximum absolute value
     * in single-complex vector x; that is, the result is the first i, i = 0
     * to n - 1 that maximizes abs(real(x[1+i*incx]))+abs(imag(x[1 + i * incx])).
     *
     * Input
     * -----
     * n      number of elements in input vector
     * x      single-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * returns the smallest index (0 if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/blas/icamax.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
     * cublasZscal (int n, cuComplex alpha, cuComplex *x, int incx)
     *
     * replaces double-complex vector x with double-complex alpha * x. For i
     * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx],
     * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
     *
     * Input
     * -----
     * n      number of elements in input vectors
     * alpha  double-complex scalar multiplier
     * x      double-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * x      double-complex result (unchanged if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/blas/zscal.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
     * sscal (int n, float alpha, float *x, int incx)
     *
     * replaces single precision vector x with single precision alpha * x. For i
     * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx],
     * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
     *
     * 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
     *
     * Output
     * ------
     * x      single precision result (unchanged if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/blas/sscal.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
     * cublasCsscal (int n, float alpha, cuComplex *x, int incx)
     *
     * replaces single-complex vector x with single-complex alpha * x. For i
     * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx],
     * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
     *
     * Input
     * -----
     * n      number of elements in input vectors
     * alpha  single precision scalar multiplier
     * x      single-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * x      single-complex result (unchanged if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/blas/csscal.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>
   * int 
   * cublasIsamax (int n, const float *x, int incx)
   *
   * finds the smallest index of the maximum magnitude element of single
   * precision vector x; that is, the result is the first i, i = 0 to n - 1, 
   * that maximizes abs(x[1 + i * incx])).
   * 
   * Input
   * -----
   * n      number of elements in input vector
   * x      single precision vector with n elements
   * incx   storage spacing between elements of x
   *
   * Output
   * ------
   * returns the smallest index (0 if n <= 0 or incx <= 0)
   *
   * Reference: http://www.netlib.org/blas/isamax.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
   * cublasSswap (int n, float *x, int incx, float *y, int incy)
   *
   * replaces single precision vector x with single precision alpha * x. For i 
   * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx], 
   * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
   *
   * 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
   *
   * Output
   * ------
   * x      single precision result (unchanged if n <= 0 or incx <= 0)
   *
   * Reference: http://www.netlib.org/blas/sscal.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
   * cublasCsscal (int n, float alpha, cuComplex *x, int incx)
   *
   * replaces single-complex vector x with single-complex alpha * x. For i 
   * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx], 
   * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
   *
   * Input
   * -----
   * n      number of elements in input vectors
   * alpha  single precision scalar multiplier
   * x      single-complex vector with n elements
   * incx   storage spacing between elements of x
   *
   * Output
   * ------
   * x      single-complex result (unchanged if n <= 0 or incx <= 0)
   *
   * Reference: http://www.netlib.org/blas/csscal.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
   * cublasZscal (int n, cuComplex alpha, cuComplex *x, int incx)
   *
   * replaces double-complex vector x with double-complex alpha * x. For i 
   * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx], 
   * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
   *
   * Input
   * -----
   * n      number of elements in input vectors
   * alpha  double-complex scalar multiplier
   * x      double-complex vector with n elements
   * incx   storage spacing between elements of x
   *
   * Output
   * ------
   * x      double-complex result (unchanged if n <= 0 or incx <= 0)
   *
   * Reference: http://www.netlib.org/blas/zscal.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>
     * int
     * cublasIsamax (int n, const float *x, int incx)
     *
     * finds the smallest index of the maximum magnitude element of single
     * precision vector x; that is, the result is the first i, i = 0 to n - 1,
     * that maximizes abs(x[1 + i * incx])).
     *
     * Input
     * -----
     * n      number of elements in input vector
     * x      single precision vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * returns the smallest index (0 if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/blas/isamax.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>
     * double
     * cublasDznrm2 (int n, const cuDoubleComplex *x, int incx)
     *
     * computes the Euclidean norm of the double precision complex n-vector x. This code
     * uses simple scaling to avoid intermediate underflow and overflow.
     *
     * Input
     * -----
     * n      number of elements in input vector
     * x      double-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * returns Euclidian norm (0 if n <= 0 or incx <= 0, or if an error occurs)
     *
     * Reference: http://www.netlib.org/blas/dznrm2.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_ARCH_MISMATCH    if invoked on device without DP support
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
     * <pre>
     * void
     * cublasCscal (int n, cuComplex alpha, cuComplex *x, int incx)
     *
     * replaces single-complex vector x with single-complex alpha * x. For i
     * = 0 to n - 1, it replaces x[ix + i * incx] with alpha * x[ix + i * incx],
     * where ix = 1 if incx >= 0, else ix = 1 + (1 - n) * incx.
     *
     * Input
     * -----
     * n      number of elements in input vectors
     * alpha  single-complex scalar multiplier
     * x      single-complex vector with n elements
     * incx   storage spacing between elements of x
     *
     * Output
     * ------
     * x      single-complex result (unchanged if n <= 0 or incx <= 0)
     *
     * Reference: http://www.netlib.org/blas/cscal.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 checkResultBLASmethodin jcuda.jcublas.JCublas

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How to use
checkResultBLAS
method
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jcuda.jcublas.JCublas