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
   * cublasDsymm (char side, char uplo, int m, int n, double alpha,
   *              const double *A, int lda, const double *B, int ldb,
   *              double beta, double *C, int ldc);
   *
   * performs one of the matrix-matrix operations
   *
   *   C = alpha * A * B + beta * C, or
   *   C = alpha * B * A + beta * C,
   *
   * where alpha and beta are double precision scalars, A is a symmetric matrix
   * consisting of double precision elements and stored in either lower or upper
   * storage mode, and B and C are m x n matrices consisting of double precision
   * elements.
   *
   * Input
   * -----
   * side   specifies whether the symmetric matrix A appears on the left side
   *        hand side or right hand side of matrix B, as follows. If side == 'L'
   *        or 'l', then C = alpha * A * B + beta * C. If side = 'R' or 'r',
   *        then C = alpha * B * A + beta * C.
   * uplo   specifies whether the symmetric matrix A is stored in upper or lower
   *        storage mode, as follows. If uplo == 'U' or 'u', only the upper
   *        triangular part of the symmetric matrix is to be referenced, and the
   *        elements of the strictly lower triangular part are to be infered from
   *        those in the upper triangular part. If uplo == 'L' or 'l', only the
   *        lower triangular part of the symmetric matrix is to be referenced,
   *        and the elements of the strictly upper triangular part are to be
   *        infered from those in the lower triangular part.
   * m      specifies the number of rows of the matrix C, and the number of rows
   *        of matrix B. It also specifies the dimensions of symmetric matrix A
   *        when side == 'L' or 'l'. m must be at least zero.
   * n      specifies the number of columns of the matrix C, and the number of
   *        columns of matrix B. It also specifies the dimensions of symmetric
   *        matrix A when side == 'R' or 'r'. n must be at least zero.
   * alpha  double precision scalar multiplier applied to A * B, or B * A
   * A      double precision array of dimensions (lda, ka), where ka is m when
   *        side == 'L' or 'l' and is n otherwise. If side == 'L' or 'l' the
   *        leading m x m part of array A must contain the symmetric matrix,
   *        such that when uplo == 'U' or 'u', the leading m x m part stores the
   *        upper triangular part of the symmetric matrix, and the strictly lower
   *        triangular part of A is not referenced, and when uplo == 'U' or 'u',
   *        the leading m x m part stores the lower triangular part of the
   *        symmetric matrix and the strictly upper triangular part is not
   *        referenced. If side == 'R' or 'r' the leading n x n part of array A
   *        must contain the symmetric matrix, such that when uplo == 'U' or 'u',
   *        the leading n x n part stores the upper triangular part of the
   *        symmetric matrix and the strictly lower triangular part of A is not
   *        referenced, and when uplo == 'U' or 'u', the leading n x n part
   *        stores the lower triangular part of the symmetric matrix and the
   *        strictly upper triangular part is not referenced.
   * lda    leading dimension of A. When side == 'L' or 'l', it must be at least
   *        max(1, m) and at least max(1, n) otherwise.
   * B      double precision array of dimensions (ldb, n). On entry, the leading
   *        m x n part of the array contains the matrix B.
   * ldb    leading dimension of B. It must be at least max (1, m).
   * beta   double precision scalar multiplier applied to C. If beta is zero, C
   *        does not have to be a valid input
   * C      double precision array of dimensions (ldc, n)
   * ldc    leading dimension of C. Must be at least max(1, m)
   *
   * Output
   * ------
   * C      updated according to C = alpha * A * B + beta * C, or C = alpha *
   *        B * A + beta * C
   *
   * Reference: http://www.netlib.org/blas/dsymm.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 m or n are < 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
     * cublasDsymm (char side, char uplo, int m, int n, double alpha,
     *              const double *A, int lda, const double *B, int ldb,
     *              double beta, double *C, int ldc);
     *
     * performs one of the matrix-matrix operations
     *
     *   C = alpha * A * B + beta * C, or
     *   C = alpha * B * A + beta * C,
     *
     * where alpha and beta are double precision scalars, A is a symmetric matrix
     * consisting of double precision elements and stored in either lower or upper
     * storage mode, and B and C are m x n matrices consisting of double precision
     * elements.
     *
     * Input
     * -----
     * side   specifies whether the symmetric matrix A appears on the left side
     *        hand side or right hand side of matrix B, as follows. If side == 'L'
     *        or 'l', then C = alpha * A * B + beta * C. If side = 'R' or 'r',
     *        then C = alpha * B * A + beta * C.
     * uplo   specifies whether the symmetric matrix A is stored in upper or lower
     *        storage mode, as follows. If uplo == 'U' or 'u', only the upper
     *        triangular part of the symmetric matrix is to be referenced, and the
     *        elements of the strictly lower triangular part are to be infered from
     *        those in the upper triangular part. If uplo == 'L' or 'l', only the
     *        lower triangular part of the symmetric matrix is to be referenced,
     *        and the elements of the strictly upper triangular part are to be
     *        infered from those in the lower triangular part.
     * m      specifies the number of rows of the matrix C, and the number of rows
     *        of matrix B. It also specifies the dimensions of symmetric matrix A
     *        when side == 'L' or 'l'. m must be at least zero.
     * n      specifies the number of columns of the matrix C, and the number of
     *        columns of matrix B. It also specifies the dimensions of symmetric
     *        matrix A when side == 'R' or 'r'. n must be at least zero.
     * alpha  double precision scalar multiplier applied to A * B, or B * A
     * A      double precision array of dimensions (lda, ka), where ka is m when
     *        side == 'L' or 'l' and is n otherwise. If side == 'L' or 'l' the
     *        leading m x m part of array A must contain the symmetric matrix,
     *        such that when uplo == 'U' or 'u', the leading m x m part stores the
     *        upper triangular part of the symmetric matrix, and the strictly lower
     *        triangular part of A is not referenced, and when uplo == 'U' or 'u',
     *        the leading m x m part stores the lower triangular part of the
     *        symmetric matrix and the strictly upper triangular part is not
     *        referenced. If side == 'R' or 'r' the leading n x n part of array A
     *        must contain the symmetric matrix, such that when uplo == 'U' or 'u',
     *        the leading n x n part stores the upper triangular part of the
     *        symmetric matrix and the strictly lower triangular part of A is not
     *        referenced, and when uplo == 'U' or 'u', the leading n x n part
     *        stores the lower triangular part of the symmetric matrix and the
     *        strictly upper triangular part is not referenced.
     * lda    leading dimension of A. When side == 'L' or 'l', it must be at least
     *        max(1, m) and at least max(1, n) otherwise.
     * B      double precision array of dimensions (ldb, n). On entry, the leading
     *        m x n part of the array contains the matrix B.
     * ldb    leading dimension of B. It must be at least max (1, m).
     * beta   double precision scalar multiplier applied to C. If beta is zero, C
     *        does not have to be a valid input
     * C      double precision array of dimensions (ldc, n)
     * ldc    leading dimension of C. Must be at least max(1, m)
     *
     * Output
     * ------
     * C      updated according to C = alpha * A * B + beta * C, or C = alpha *
     *        B * A + beta * C
     *
     * Reference: http://www.netlib.org/blas/dsymm.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 m or n are < 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 cublasDsymmNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDsymmNative
method
in
jcuda.jcublas.JCublas