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

java.awt.image.Kernel

A Uniform Resource Identifier that identifies an abstract or physical resource,
as specified by RFC 

java.net.URI

Produces concatenated messages in language-neutral way. New code should probably
use java.util.Forma

java.text.MessageFormat

SortedSet is a Set which iterates over its elements in a sorted order. The order
is determined eithe

java.util.SortedSet

Extends the javax.servlet.ServletRequest interface to provide request
information for HTTP servlets.

javax.servlet.http.HttpServletRequest

org.openjdk.jmh.runner.Runner

setContentView

requestLocationUpdates

setRequestProperty

/**
     * <pre>
     * void cublasDsyr2 (char uplo, int n, double alpha, const double *x, int incx,
     *                   const double *y, int incy, double *A, int lda)
     *
     * performs the symmetric rank 2 operation
     *
     *    A = alpha*x*transpose(y) + alpha*y*transpose(x) + A,
     *
     * where alpha is a double precision scalar, x and y are n element double
     * precision vector and A is an n by n symmetric matrix consisting of double
     * precision elements.
     *
     * Input
     * -----
     * uplo   specifies whether the matrix data is stored in the upper or the lower
     *        triangular part of array A. If uplo == 'U' or 'u', then only the
     *        upper triangular part of A may be referenced and the lower triangular
     *        part of A is inferred. If uplo == 'L' or 'l', then only the lower
     *        triangular part of A may be referenced and the upper triangular part
     *        of A is inferred.
     * n      specifies the number of rows and columns of the matrix A. It must be
     *        at least zero.
     * alpha  double precision scalar multiplier applied to x * transpose(y) +
     *        y * transpose(x).
     * x      double precision array of length at least (1 + (n - 1) * abs (incx)).
     * incx   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   storage spacing between elements of y. incy must not be zero.
     * A      double precision array of dimensions (lda, n). If uplo == 'U' or 'u',
     *        then A must contains the upper triangular part of a symmetric matrix,
     *        and the strictly lower triangular parts is not referenced. If uplo ==
     *        'L' or 'l', then A contains the lower triangular part of a symmetric
     *        matrix, and the strictly upper triangular part is not referenced.
     * lda    leading dimension of A. It must be at least max(1, n).
     *
     * Output
     * ------
     * A      updated according to A = alpha*x*transpose(y)+alpha*y*transpose(x)+A
     *
     * Reference: http://www.netlib.org/blas/dsyr2.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>
   * void cublasDsyr2 (char uplo, int n, double alpha, const double *x, int incx, 
   *                   const double *y, int incy, double *A, int lda)
   *
   * performs the symmetric rank 2 operation
   *
   *    A = alpha*x*transpose(y) + alpha*y*transpose(x) + A,
   *
   * where alpha is a double precision scalar, x and y are n element double 
   * precision vector and A is an n by n symmetric matrix consisting of double 
   * precision elements.
   * 
   * Input
   * -----
   * uplo   specifies whether the matrix data is stored in the upper or the lower
   *        triangular part of array A. If uplo == 'U' or 'u', then only the 
   *        upper triangular part of A may be referenced and the lower triangular
   *        part of A is inferred. If uplo == 'L' or 'l', then only the lower 
   *        triangular part of A may be referenced and the upper triangular part
   *        of A is inferred.
   * n      specifies the number of rows and columns of the matrix A. It must be
   *        at least zero.
   * alpha  double precision scalar multiplier applied to x * transpose(y) + 
   *        y * transpose(x).
   * x      double precision array of length at least (1 + (n - 1) * abs (incx)).
   * incx   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   storage spacing between elements of y. incy must not be zero.
   * A      double precision array of dimensions (lda, n). If uplo == 'U' or 'u',
   *        then A must contains the upper triangular part of a symmetric matrix,
   *        and the strictly lower triangular parts is not referenced. If uplo ==
   *        'L' or 'l', then A contains the lower triangular part of a symmetric 
   *        matrix, and the strictly upper triangular part is not referenced.
   * lda    leading dimension of A. It must be at least max(1, n).
   *
   * Output
   * ------
   * A      updated according to A = alpha*x*transpose(y)+alpha*y*transpose(x)+A
   *
   * Reference: http://www.netlib.org/blas/dsyr2.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 cublasDsyr2Nativemethodin jcuda.jcublas.JCublas

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How to use
cublasDsyr2Native
method
in
jcuda.jcublas.JCublas