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

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cublasChbmvNative

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cublasChemvNative

cublasCher2Native

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Making http post requests using okhttp

A ConnectException is thrown if a connection cannot be established to a remote
host on a specific po

java.net.ConnectException

This SocketException may be thrown during socket creation or setting options,
and is the superclass 

java.net.SocketException

 Stack is a Last-In/First-Out(LIFO) data structure which represents a stack of
objects. It enables u

java.util.Stack

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

java.util.jar.Manifest

XPath provides access to the XPath evaluation environment and expressions.

Evaluation of XPath Expr

javax.xml.xpath.XPath

scala.Option

setContentView

compareTo

putExtra

/**
     * <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
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jcuda.jcublas.JCublas