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 requests using okhttp

This class implements a simple HTTP server. A HttpServer is bound to an IP
address and port number a

com.sun.net.httpserver.HttpServer

Thrown when trying to retrieve an element past the end of an Enumeration or
Iterator.

java.util.NoSuchElementException

The annotation structure.An instance of this class is returned bygetAnnotations() in AnnotationsAttr

javassist.bytecode.annotation.Annotation

Operations on java.lang.String that arenull safe.

 * IsEmpty/IsBlank - checks if a String contains 

org.apache.commons.lang.StringUtils

Factory for creating Log instances, with discovery and configuration features
similar to that employ

org.apache.commons.logging.LogFactory

org.hibernate.mapping.Table

notifyDataSetChanged

onCreateOptionsMenu

getExternalFilesDir

/**
     * <pre>
     * void
     * cublasDspr (char uplo, int n, double alpha, const double *x, int incx,
     *             double *AP)
     *
     * performs the symmetric rank 1 operation
     *
     *    A = alpha * x * transpose(x) + A,
     *
     * where alpha is a double precision scalar and x is an n element double
     * precision vector. 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 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  double precision scalar multiplier applied to x * 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.
     * 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(x) + A
     *
     * Reference: http://www.netlib.org/blas/dspr.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 
   * cublasDspr (char uplo, int n, double alpha, const double *x, int incx, 
   *             double *AP)
   *
   * performs the symmetric rank 1 operation
   * 
   *    A = alpha * x * transpose(x) + A,
   * 
   * where alpha is a double precision scalar and x is an n element double 
   * precision vector. 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 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  double precision scalar multiplier applied to x * 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.
   * 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(x) + A
   *
   * Reference: http://www.netlib.org/blas/dspr.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 cublasDsprNativemethodin jcuda.jcublas.JCublas

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

How to use
cublasDsprNative
method
in
jcuda.jcublas.JCublas