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

Start an intent from android

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

This class represents a server-side socket that waits for incoming client
connections. A ServerSocke

java.net.ServerSocket

This class implements a vector of bits that grows as needed. Each component of
the bit set has a boo

java.util.BitSet

This is the central class in the log4j package. Most logging operations, except
configuration, are d

org.apache.log4j.Logger

The main user interface to logging. It is expected that logging takes place
through concrete impleme

org.slf4j.Logger

getSystemService

Return the contained value, if present, otherwise throw an exception to be
created by the provided s

orElseThrow

addToBackStack

/**
     * <pre>
     * void
     * cublasDspr2 (char uplo, int n, double alpha, const double *x, int incx,
     *              const double *y, int incy, double *AP)
     *
     * performs the symmetric rank 2 operation
     *
     *    A = alpha*x*transpose(y) + alpha*y*transpose(x) + A,
     *
     * where alpha is a double precision scalar, and x and y are n element double
     * precision vectors. A is a symmetric n x n matrix consisting of double
     * precision elements that is supplied in packed form.
     *
     * 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.
     * AP     double precision array with at least ((n * (n + 1)) / 2) elements. If
     *        uplo == 'U' or 'u', the array AP contains the upper triangular part
     *        of the symmetric matrix A, packed sequentially, column by column;
     *        that is, if i <= j, then A[i,j] is stored is AP[i+(j*(j+1)/2)]. If
     *        uplo == 'L' or 'L', the array AP contains the lower triangular part
     *        of the symmetric matrix A, packed sequentially, column by column;
     *        that is, if i >= j, then A[i,j] is stored in AP[i+((2*n-j+1)*j)/2].
     *
     * Output
     * ------
     * A      updated according to A = alpha*x*transpose(y)+alpha*y*transpose(x)+A
     *
     * Reference: http://www.netlib.org/blas/dspr2.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 
   * cublasDspr2 (char uplo, int n, double alpha, const double *x, int incx, 
   *              const double *y, int incy, double *AP)
   *
   * performs the symmetric rank 2 operation
   *
   *    A = alpha*x*transpose(y) + alpha*y*transpose(x) + A,
   *
   * where alpha is a double precision scalar, and x and y are n element double 
   * precision vectors. A is a symmetric n x n matrix consisting of double 
   * precision elements that is supplied in packed form.
   *
   * 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.
   * AP     double precision array with at least ((n * (n + 1)) / 2) elements. If
   *        uplo == 'U' or 'u', the array AP contains the upper triangular part 
   *        of the symmetric matrix A, packed sequentially, column by column; 
   *        that is, if i <= j, then A[i,j] is stored is AP[i+(j*(j+1)/2)]. If 
   *        uplo == 'L' or 'L', the array AP contains the lower triangular part 
   *        of the symmetric matrix A, packed sequentially, column by column; 
   *        that is, if i >= j, then A[i,j] is stored in AP[i+((2*n-j+1)*j)/2].
   *
   * Output
   * ------
   * A      updated according to A = alpha*x*transpose(y)+alpha*y*transpose(x)+A
   *
   * Reference: http://www.netlib.org/blas/dspr2.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 cublasDspr2Nativemethodin jcuda.jcublas.JCublas

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How to use
cublasDspr2Native
method
in
jcuda.jcublas.JCublas