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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

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cublasCgbmvNative

cublasCgemmNative

cublasCgemvNative

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Gson

Parsing JSON documents to java classes using gson

Wraps an existing InputStream and buffers the input. Expensive interaction with
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java.io.BufferedInputStream

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

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java.net.InetAddress

A task that can be scheduled for one-time or repeated execution by a Timer.

java.util.TimerTask

A Red-Black tree based NavigableMap implementation. The map is sorted according
to the Comparable of

java.util.TreeMap

A compiled representation of a regular expression. A regular expression,
specified as a string, must

java.util.regex.Pattern

onCreateOptionsMenu

startActivity

getContentResolver

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

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

How to use cublasDsyrNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDsyrNative
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jcuda.jcublas.JCublas