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

Making http post requests using okhttp

java.awt.image.Kernel

Convenience class for writing character files. The constructors of this class
assume that the defaul

java.io.FileWriter

This class is used to encode a string using the format required by
application/x-www-form-urlencoded

java.net.URLEncoder

A buffer for bytes. A byte buffer can be created in either one of the following
ways: *  #allocate(i

java.nio.ByteBuffer

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

java.util.BitSet

A java.util.Queue that additionally supports operations that wait for the queue
to become non-empty 

java.util.concurrent.BlockingQueue

getResourceAsStream

notifyDataSetChanged

getSharedPreferences

/**
     * <pre>
     * void
     * cublasSspr (char uplo, int n, float alpha, const float *x, int incx,
     *             float *AP)
     *
     * performs the symmetric rank 1 operation
     *
     *    A = alpha * x * transpose(x) + A,
     *
     * where alpha is a single precision scalar and x is an n element single
     * precision vector. A is a symmetric n x n matrix consisting of single
     * 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 AP. If uplo == 'U' or 'u', then the upper
     *        triangular part of A is supplied in AP. If uplo == 'L' or 'l', then
     *        the lower triangular part of A is supplied in AP.
     * n      specifies the number of rows and columns of the matrix A. It must be
     *        at least zero.
     * alpha  single precision scalar multiplier applied to x * transpose(x).
     * x      single precision array of length at least (1 + (n - 1) * abs(incx)).
     * incx   storage spacing between elements of x. incx must not be zero.
     * AP     single 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(x) + A
     *
     * Reference: http://www.netlib.org/blas/sspr.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 
   * cublasSspr (char uplo, int n, float alpha, const float *x, int incx, 
   *             float *AP)
   *
   * performs the symmetric rank 1 operation
   * 
   *    A = alpha * x * transpose(x) + A,
   * 
   * where alpha is a single precision scalar and x is an n element single 
   * precision vector. A is a symmetric n x n matrix consisting of single 
   * 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 AP. If uplo == 'U' or 'u', then the upper 
   *        triangular part of A is supplied in AP. If uplo == 'L' or 'l', then 
   *        the lower triangular part of A is supplied in AP.
   * n      specifies the number of rows and columns of the matrix A. It must be
   *        at least zero.
   * alpha  single precision scalar multiplier applied to x * transpose(x).
   * x      single precision array of length at least (1 + (n - 1) * abs(incx)).
   * incx   storage spacing between elements of x. incx must not be zero.
   * AP     single 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(x) + A
   *
   * Reference: http://www.netlib.org/blas/sspr.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 cublasSsprNativemethodin jcuda.jcublas.JCublas

Best Java code snippets using jcuda.jcublas.JCublas.cublasSsprNative (Showing top 6 results out of 315)

How to use
cublasSsprNative
method
in
jcuda.jcublas.JCublas