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

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Gson

Making http post requests using okhttp

java.awt.image.Kernel

Convenience class for writing character files. The constructors of this class
assume that the defaul

java.io.FileWriter

This class is used to encode a string using the format required by
application/x-www-form-urlencoded

java.net.URLEncoder

A buffer for bytes. A byte buffer can be created in either one of the following
ways: *  #allocate(i

java.nio.ByteBuffer

This class implements a vector of bits that grows as needed. Each component of
the bit set has a boo

java.util.BitSet

A java.util.Queue that additionally supports operations that wait for the queue
to become non-empty 

java.util.concurrent.BlockingQueue

getResourceAsStream

getSharedPreferences

notifyDataSetChanged

/**
     * <pre>
     * cublasSger (int m, int n, float alpha, const float *x, int incx,
     *             const float *y, int incy, float *A, int lda)
     *
     * performs the symmetric rank 1 operation
     *
     *    A = alpha * x * transpose(y) + A,
     *
     * where alpha is a single precision scalar, x is an m element single
     * precision vector, y is an n element single precision vector, and A
     * is an m by n matrix consisting of single precision elements. Matrix A
     * is stored in column major format, and lda is the leading dimension of
     * the two-dimensional array used to store A.
     *
     * Input
     * -----
     * m      specifies the number of rows of the matrix A. It must be at least
     *        zero.
     * n      specifies the number of columns of the matrix A. It must be at
     *        least zero.
     * alpha  single precision scalar multiplier applied to x * transpose(y)
     * x      single precision array of length at least (1 + (m - 1) * abs(incx))
     * incx   specifies the storage spacing between elements of x. incx must not
     *        be zero.
     * y      single precision array of length at least (1 + (n - 1) * abs(incy))
     * incy   specifies the storage spacing between elements of y. incy must not
     *        be zero.
     * A      single precision array of dimensions (lda, n).
     * lda    leading dimension of two-dimensional array used to store matrix A
     *
     * Output
     * ------
     * A      updated according to A = alpha * x * transpose(y) + A
     *
     * Reference: http://www.netlib.org/blas/sger.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 n < 0, incx == 0, incy == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * cublasSger (int m, int n, float alpha, const float *x, int incx, 
   *             const float *y, int incy, float *A, int lda)
   *
   * performs the symmetric rank 1 operation
   *
   *    A = alpha * x * transpose(y) + A,
   *
   * where alpha is a single precision scalar, x is an m element single 
   * precision vector, y is an n element single precision vector, and A 
   * is an m by n matrix consisting of single precision elements. Matrix A
   * is stored in column major format, and lda is the leading dimension of
   * the two-dimensional array used to store A.
   * 
   * Input
   * -----
   * m      specifies the number of rows of the matrix A. It must be at least 
   *        zero.
   * n      specifies the number of columns of the matrix A. It must be at 
   *        least zero.
   * alpha  single precision scalar multiplier applied to x * transpose(y)
   * x      single precision array of length at least (1 + (m - 1) * abs(incx))
   * incx   specifies the storage spacing between elements of x. incx must not
   *        be zero.
   * y      single precision array of length at least (1 + (n - 1) * abs(incy))
   * incy   specifies the storage spacing between elements of y. incy must not 
   *        be zero.
   * A      single precision array of dimensions (lda, n).
   * lda    leading dimension of two-dimensional array used to store matrix A
   *
   * Output
   * ------
   * A      updated according to A = alpha * x * transpose(y) + A
   *
   * Reference: http://www.netlib.org/blas/sger.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 n < 0, incx == 0, incy == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasSgerNativemethodin jcuda.jcublas.JCublas

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How to use
cublasSgerNative
method
in
jcuda.jcublas.JCublas