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

Creating JSON documents from java classes using gson

Wraps either an existing OutputStream or an existing Writerand provides
convenience methods for prin

java.io.PrintWriter

Uses a one-way hash function to turn an arbitrary number of bytes into a
fixed-length byte sequence.

java.security.MessageDigest

ArrayList is an implementation of List, backed by an array. All optional
operations including adding

java.util.ArrayList

Walk the nodes of the tree left-to-right or right-to-left. Note that in
descending iterations, next 

java.util.TreeMap

Factory and utility methods for Executor, ExecutorService,
ScheduledExecutorService, ThreadFactory, 

java.util.concurrent.Executors

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

javassist.Modifier

addToBackStack

getExternalFilesDir

runOnUiThread

/**
     * <pre>
     * cublasDgemv (char trans, int m, int n, double alpha, const double *A,
     *              int lda, const double *x, int incx, double beta, double *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 double precision scalars, x and y are double
     * precision vectors, and A is an m x n matrix consisting of double 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  double precision scalar multiplier applied to op(A).
     * A      double 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      double 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   double precision scalar multiplier applied to vector y. If beta
     *        is zero, y is not read.
     * y      double 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/dgemv.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_ARCH_MISMATCH    if invoked on device without DP support
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * cublasDgemv (char trans, int m, int n, double alpha, const double *A, 
   *              int lda, const double *x, int incx, double beta, double *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 double precision scalars, x and y are double 
   * precision vectors, and A is an m x n matrix consisting of double 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  double precision scalar multiplier applied to op(A).
   * A      double 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      double 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   double precision scalar multiplier applied to vector y. If beta 
   *        is zero, y is not read.
   * y      double 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/dgemv.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_ARCH_MISMATCH    if invoked on device without DP support
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasDgemvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDgemvNative
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jcuda.jcublas.JCublas