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

The Font class represents fonts, which are used to render text in a visible way.
A font provides the

java.awt.Font

java.awt.image.Kernel

java.lang.String

A Uniform Resource Identifier that identifies an abstract or physical resource,
as specified by RFC 

java.net.URI

javax.swing.JComboBox

Main entry-point into the library.

Options represents a collection of Option objects, which describ

org.apache.commons.cli.Options

setScale

setContentView

getResourceAsStream

/**
     * <pre>
     * void
     * cublasDtpmv (char uplo, char trans, char diag, int n, const double *AP,
     *              double *x, int incx);
     *
     * performs one of the matrix-vector operations x = op(A) * x, where op(A) = A,
     * or op(A) = transpose(A). x is an n element double precision vector, and A
     * is an n x n, unit or non-unit, upper or lower triangular matrix composed
     * of double precision elements.
     *
     * Input
     * -----
     * uplo   specifies whether the matrix A is an upper or lower triangular
     *        matrix. If uplo == 'U' or 'u', then A is an upper triangular matrix.
     *        If uplo == 'L' or 'l', then A is a lower triangular matrix.
     * trans  specifies op(A). If transa == 'N' or 'n', op(A) = A. If trans == 'T',
     *        't', 'C', or 'c', op(A) = transpose(A)
     * diag   specifies whether or not matrix A is unit triangular. If diag == 'U'
     *        or 'u', A is assumed to be unit triangular. If diag == 'N' or 'n', A
     *        is not assumed to be unit triangular.
     * n      specifies the number of rows and columns of the matrix A. n must be
     *        at least zero. In the current implementation n must not exceed 4070.
     * 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 in 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].
     * x      double precision array of length at least (1 + (n - 1) * abs(incx)).
     *        On entry, x contains the source vector. On exit, x is overwritten
     *        with the result vector.
     * incx   specifies the storage spacing for elements of x. incx must not be
     *        zero.
     *
     * Output
     * ------
     * x      updated according to x = op(A) * x,
     *
     * Reference: http://www.netlib.org/blas/dtpmv.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 incx == 0 or n < 0
     * CUBLAS_STATUS_ALLOC_FAILED     if function cannot allocate enough internal scratch vector memory
     * 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 
   * cublasDtpmv (char uplo, char trans, char diag, int n, const double *AP, 
   *              double *x, int incx);
   *
   * performs one of the matrix-vector operations x = op(A) * x, where op(A) = A,
   * or op(A) = transpose(A). x is an n element double precision vector, and A 
   * is an n x n, unit or non-unit, upper or lower triangular matrix composed 
   * of double precision elements.
   *
   * Input
   * -----
   * uplo   specifies whether the matrix A is an upper or lower triangular
   *        matrix. If uplo == 'U' or 'u', then A is an upper triangular matrix.
   *        If uplo == 'L' or 'l', then A is a lower triangular matrix.
   * trans  specifies op(A). If transa == 'N' or 'n', op(A) = A. If trans == 'T',
   *        't', 'C', or 'c', op(A) = transpose(A)
   * diag   specifies whether or not matrix A is unit triangular. If diag == 'U'
   *        or 'u', A is assumed to be unit triangular. If diag == 'N' or 'n', A 
   *        is not assumed to be unit triangular.
   * n      specifies the number of rows and columns of the matrix A. n must be 
   *        at least zero. In the current implementation n must not exceed 4070.
   * 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 in 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].
   * x      double precision array of length at least (1 + (n - 1) * abs(incx)).
   *        On entry, x contains the source vector. On exit, x is overwritten 
   *        with the result vector.
   * incx   specifies the storage spacing for elements of x. incx must not be 
   *        zero.
   *
   * Output
   * ------
   * x      updated according to x = op(A) * x,
   *
   * Reference: http://www.netlib.org/blas/dtpmv.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 incx == 0 or n < 0
   * CUBLAS_STATUS_ALLOC_FAILED     if function cannot allocate enough internal scratch vector memory 
   * 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 cublasDtpmvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDtpmvNative
method
in
jcuda.jcublas.JCublas