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

Start an intent from android

A point representing a location in (x,y) coordinate space, specified in integer
precision.

java.awt.Point

Thrown when trying to retrieve an element past the end of an Enumeration or
Iterator.

java.util.NoSuchElementException

A plug-in replacement for JDK1.5 java.util.concurrent.ConcurrentHashMap. This
version is based on or

java.util.concurrent.ConcurrentHashMap

javax.swing.JFrame

javax.swing.JTable

Basic implementation of javax.sql.DataSource that is configured via JavaBeans
properties. This is no

org.apache.commons.dbcp.BasicDataSource

startActivity

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

getOriginalFilename

onCreateOptionsMenu

/**
     * <pre>
     * cublasSgemv (char trans, int m, int n, float alpha, const float *A, int lda,
     *              const float *x, int incx, float beta, float *y, int incy)
     *
     * performs one of the matrix-vector operations
     *
     *    y = alpha * op(A) * x + beta * y,
     *
     * where op(A) is one of
     *
     *    op(A) = A   or   op(A) = transpose(A)
     *
     * where alpha and beta are single precision scalars, x and y are single
     * precision vectors, and A is an m x 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 in which A is stored.
     *
     * Input
     * -----
     * trans  specifies op(A). If transa = 'n' or 'N', op(A) = A. If trans =
     *        trans = 't', 'T', 'c', or 'C', op(A) = transpose(A)
     * m      specifies the number of rows of the matrix A. m must be at least
     *        zero.
     * n      specifies the number of columns of the matrix A. n must be at least
     *        zero.
     * alpha  single precision scalar multiplier applied to op(A).
     * A      single precision array of dimensions (lda, n) if trans = 'n' or
     *        'N'), and of dimensions (lda, m) otherwise. lda must be at least
     *        max(1, m) and at least max(1, n) otherwise.
     * lda    leading dimension of two-dimensional array used to store matrix A
     * x      single precision array of length at least (1 + (n - 1) * abs(incx))
     *        when trans = 'N' or 'n' and at least (1 + (m - 1) * abs(incx))
     *        otherwise.
     * incx   specifies the storage spacing between elements of x. incx must not
     *        be zero.
     * beta   single precision scalar multiplier applied to vector y. If beta
     *        is zero, y is not read.
     * y      single precision array of length at least (1 + (m - 1) * abs(incy))
     *        when trans = 'N' or 'n' and at least (1 + (n - 1) * abs(incy))
     *        otherwise.
     * incy   specifies the storage spacing between elements of x. incx must not
     *        be zero.
     *
     * Output
     * ------
     * y      updated according to alpha * op(A) * x + beta * y
     *
     * Reference: http://www.netlib.org/blas/sgemv.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 m or n are < 0, or if incx or incy == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * cublasSgemv (char trans, int m, int n, float alpha, const float *A, int lda,
   *              const float *x, int incx, float beta, float *y, int incy)
   *
   * performs one of the matrix-vector operations
   *
   *    y = alpha * op(A) * x + beta * y,
   *
   * where op(A) is one of
   *
   *    op(A) = A   or   op(A) = transpose(A)
   *
   * where alpha and beta are single precision scalars, x and y are single 
   * precision vectors, and A is an m x 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 in which A is stored.
   *
   * Input
   * -----
   * trans  specifies op(A). If transa = 'n' or 'N', op(A) = A. If trans =
   *        trans = 't', 'T', 'c', or 'C', op(A) = transpose(A)
   * m      specifies the number of rows of the matrix A. m must be at least 
   *        zero.
   * n      specifies the number of columns of the matrix A. n must be at least 
   *        zero.
   * alpha  single precision scalar multiplier applied to op(A).
   * A      single precision array of dimensions (lda, n) if trans = 'n' or 
   *        'N'), and of dimensions (lda, m) otherwise. lda must be at least 
   *        max(1, m) and at least max(1, n) otherwise.
   * lda    leading dimension of two-dimensional array used to store matrix A
   * x      single precision array of length at least (1 + (n - 1) * abs(incx))
   *        when trans = 'N' or 'n' and at least (1 + (m - 1) * abs(incx)) 
   *        otherwise.
   * incx   specifies the storage spacing between elements of x. incx must not 
   *        be zero.
   * beta   single precision scalar multiplier applied to vector y. If beta 
   *        is zero, y is not read.
   * y      single precision array of length at least (1 + (m - 1) * abs(incy))
   *        when trans = 'N' or 'n' and at least (1 + (n - 1) * abs(incy)) 
   *        otherwise.
   * incy   specifies the storage spacing between elements of x. incx must not
   *        be zero.
   *
   * Output
   * ------
   * y      updated according to alpha * op(A) * x + beta * y
   *
   * Reference: http://www.netlib.org/blas/sgemv.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 m or n are < 0, or if incx or incy == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasSgemvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasSgemvNative
method
in
jcuda.jcublas.JCublas