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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 requests using okhttp

A border layout lays out a container, arranging and resizing its components to
fit in five regions: 

java.awt.BorderLayout

An output stream that writes bytes to a file. If the output file exists, it can
be replaced or appen

java.io.FileOutputStream

java.net.Socket

 GregorianCalendar is a concrete subclass of Calendarand provides the standard
calendar used by most

java.util.GregorianCalendar

The Manifest class is used to obtain attribute information for a JarFile and its
entries.

java.util.jar.Manifest

General IO stream manipulation utilities. This class provides static utility
methods for input/outpu

org.apache.commons.io.IOUtils

onCreateOptionsMenu

addToBackStack

notifyDataSetChanged

/**
     * <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
     * 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>
     * 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>
     * 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
   * 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>
   * 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>
     * 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
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jcuda.jcublas.JCublas