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

Running tasks concurrently on multiple threads

An abstraction for a native pointer data type. A Pointer instance represents, on
the Java side, a na

com.sun.jna.Pointer

A flow layout arranges components in a left-to-right flow, much like lines of
text in a paragraph. F

java.awt.FlowLayout

The BitSet class implements abit array [http://en.wikipedia.org/wiki/Bit_array].
Each element is eit

java.util.BitSet

TimeZone represents a time zone offset, and also figures out daylight savings. 
Typically, you get a

java.util.TimeZone

 JarFile is used to read jar entries and their associated data from jar files.

java.util.jar.JarFile

Operations on java.lang.String that arenull safe.

 * IsEmpty/IsBlank - checks if a String contains 

org.apache.commons.lang.StringUtils

Return the original filename in the client's filesystem.This may contain path
information depending 

getOriginalFilename

getResourceAsStream

notifyDataSetChanged

/**
     * <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