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
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checkResultBLAS

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cublasCher2Native

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cublasChpr2Native

Gson

Parsing JSON documents to java classes using gson

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

java.net.ServerSocket

This SocketException may be thrown during socket creation or setting options,
and is the superclass 

java.net.SocketException

This class is used to encode a string using the format required by
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java.net.URLEncoder

A plug-in replacement for JDK1.5 java.util.Hashtable. This version is based on
org.cliffc.high_scale

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A Set is a data structure which does not allow duplicate elements.

java.util.Set

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

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notifyDataSetChanged

/**
     * <pre>
     * void
     * cublasZhpr (char uplo, int n, double alpha, const cuDoubleComplex *x, int incx,
     *             cuDoubleComplex *AP)
     *
     * performs the hermitian rank 1 operation
     *
     *    A = alpha * x * conjugate(transpose(x)) + A,
     *
     * where alpha is a double precision real scalar and x is an n element double
     * precision complex vector. A is a hermitian n x n matrix consisting of double
     * precision complex 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 real scalar multiplier applied to x * conjugate(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 complex array with at least ((n * (n + 1)) / 2) elements. If
     *        uplo == 'U' or 'u', the array AP contains the upper triangular part
     *        of the hermitian 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 hermitian 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].
     *        The imaginary parts of the diagonal elements need not be set, they
     *        are assumed to be zero, and on exit they are set to zero.
     *
     * Output
     * ------
     * A      updated according to A = alpha * x * conjugate(transpose(x)) + A
     *
     * Reference: http://www.netlib.org/blas/zhpr.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 
   * cublasZhpr (char uplo, int n, double alpha, const cuDoubleComplex *x, int incx, 
   *             cuDoubleComplex *AP)
   *
   * performs the hermitian rank 1 operation
   * 
   *    A = alpha * x * conjugate(transpose(x)) + A,
   * 
   * where alpha is a double precision real scalar and x is an n element double 
   * precision complex vector. A is a hermitian n x n matrix consisting of double 
   * precision complex 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 real scalar multiplier applied to x * conjugate(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 complex array with at least ((n * (n + 1)) / 2) elements. If
   *        uplo == 'U' or 'u', the array AP contains the upper triangular part 
   *        of the hermitian 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 hermitian 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].
   *        The imaginary parts of the diagonal elements need not be set, they
   *        are assumed to be zero, and on exit they are set to zero. 
   *
   * Output
   * ------
   * A      updated according to A = alpha * x * conjugate(transpose(x)) + A
   *
   * Reference: http://www.netlib.org/blas/zhpr.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 cublasZhprNativemethodin jcuda.jcublas.JCublas

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How to use
cublasZhprNative
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jcuda.jcublas.JCublas