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

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Gson

Reading from database using SQL prepared statement

This exception is thrown when a timeout expired on a socket read or accept
operation.

java.net.SocketTimeoutException

Provides an abstract class to be subclassed to create an HTTP servlet suitable
for a Web site. A sub

javax.servlet.http.HttpServlet

javax.swing.JTextField

org.hibernate.mapping.Join

The LoggerFactory is a utility class producing Loggers for various logging APIs,
most notably for lo

org.slf4j.LoggerFactory

Encapsulate an XML parse error or warning.> This module, both source code and documentation, is in t

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findViewById

startActivity

getExternalFilesDir

/**
     * <pre>
     * cublasDger (int m, int n, double alpha, const double *x, int incx,
     *             const double *y, int incy, double *A, int lda)
     *
     * performs the symmetric rank 1 operation
     *
     *    A = alpha * x * transpose(y) + A,
     *
     * where alpha is a double precision scalar, x is an m element double
     * precision vector, y is an n element double precision vector, and A
     * is an m by 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 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  double precision scalar multiplier applied to x * transpose(y)
     * x      double 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      double 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      double 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/dger.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_ARCH_MISMATCH    if invoked on device without DP support
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * cublasDger (int m, int n, double alpha, const double *x, int incx,
   *             const double *y, int incy, double *A, int lda)
   *
   * performs the symmetric rank 1 operation
   *
   *    A = alpha * x * transpose(y) + A,
   *
   * where alpha is a double precision scalar, x is an m element double
   * precision vector, y is an n element double precision vector, and A
   * is an m by 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 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  double precision scalar multiplier applied to x * transpose(y)
   * x      double 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      double 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      double 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/dger.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_ARCH_MISMATCH    if invoked on device without DP support
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasDgerNativemethodin jcuda.jcublas.JCublas

Best Java code snippets using jcuda.jcublas.JCublas.cublasDgerNative (Showing top 6 results out of 315)

How to use
cublasDgerNative
method
in
jcuda.jcublas.JCublas