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

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cublasChemvNative

cublasCher2Native

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cublasCherNative

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Parsing JSON documents to java classes using gson

The Color class is used to encapsulate colors in the default sRGB color space or
colors in arbitrary

java.awt.Color

A readable source of bytes.Most clients will use input streams that read data
from the file system (

java.io.InputStream

A charset is a named mapping between Unicode characters and byte sequences.
Every Charset can decode

java.nio.charset.Charset

This class contains various methods for manipulating arrays (such as sorting and
searching). This cl

java.util.Arrays

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

java.util.SortedSet

General file manipulation utilities. Facilities are provided in the following
areas: * writing to a 

org.apache.commons.io.FileUtils

requestLocationUpdates

setRequestProperty

putExtra

/**
     * <pre>
     * void
     * cublasSsyr (char uplo, int n, float alpha, const float *x, int incx,
     *             float *A, int lda)
     *
     * performs the symmetric rank 1 operation
     *
     *    A = alpha * x * transpose(x) + A,
     *
     * where alpha is a single precision scalar, x is an n element single
     * precision vector and A is an n x n symmetric 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
     * containing A.
     *
     * 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.
     *        If uplo = 'L' or 'l', then only the lower triangular part of
     *        A may be referenced.
     * n      specifies the number of rows and columns of the matrix A. It
     *        must be at least 0.
     * alpha  single precision scalar multiplier applied to x * transpose(x)
     * x      single precision array of length at least (1 + (n - 1) * abs(incx))
     * incx   specifies the storage spacing between elements of x. incx must
     *        not be zero.
     * A      single precision array of dimensions (lda, n). If uplo = 'U' or
     *        'u', then A must contain the upper triangular part of a symmetric
     *        matrix, and the strictly lower triangular part 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 the two-dimensional array containing A. lda
     *        must be at least max(1, n).
     *
     * Output
     * ------
     * A      updated according to A = alpha * x * transpose(x) + A
     *
     * Reference: http://www.netlib.org/blas/ssyr.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, or incx == 0
     * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasSsyr (char uplo, int n, float alpha, const float *x, int incx,
   *             float *A, int lda)
   *
   * performs the symmetric rank 1 operation
   *
   *    A = alpha * x * transpose(x) + A,
   *
   * where alpha is a single precision scalar, x is an n element single 
   * precision vector and A is an n x n symmetric 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 
   * containing A.
   *
   * 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.
   *        If uplo = 'L' or 'l', then only the lower triangular part of
   *        A may be referenced.
   * n      specifies the number of rows and columns of the matrix A. It
   *        must be at least 0.
   * alpha  single precision scalar multiplier applied to x * transpose(x)
   * x      single precision array of length at least (1 + (n - 1) * abs(incx))
   * incx   specifies the storage spacing between elements of x. incx must 
   *        not be zero.
   * A      single precision array of dimensions (lda, n). If uplo = 'U' or 
   *        'u', then A must contain the upper triangular part of a symmetric 
   *        matrix, and the strictly lower triangular part 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 the two-dimensional array containing A. lda
   *        must be at least max(1, n).
   *
   * Output
   * ------
   * A      updated according to A = alpha * x * transpose(x) + A
   *
   * Reference: http://www.netlib.org/blas/ssyr.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, or incx == 0
   * CUBLAS_STATUS_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasSsyrNativemethodin jcuda.jcublas.JCublas

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How to use
cublasSsyrNative
method
in
jcuda.jcublas.JCublas