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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

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Gson

Reactive rest calls using spring rest template

A Rectangle specifies an area in a coordinate space that is enclosed by the 
Rectangle object's top-

java.awt.Rectangle

Uses a one-way hash function to turn an arbitrary number of bytes into a
fixed-length byte sequence.

java.security.MessageDigest

ArrayList is an implementation of List, backed by an array. All optional
operations including adding

java.util.ArrayList

A Comparator is used to compare two objects to determine their ordering with
respect to each other. 

java.util.Comparator

LinkedHashMap is an implementation of Map that guarantees iteration order. All
optional operations a

java.util.LinkedHashMap

javax.swing.JTable

getSystemService

getSupportFragmentManager

compareTo

/**
   * <pre>
   * void 
   * cublasSsymm (char side, char uplo, int m, int n, float alpha, 
   *              const float *A, int lda, const float *B, int ldb, 
   *              float beta, float *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 single precision scalars, A is a symmetric matrix
   * consisting of single precision elements and stored in either lower or upper 
   * storage mode, and B and C are m x n matrices consisting of single 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  single precision scalar multiplier applied to A * B, or B * A
   * A      single 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      single 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   single precision scalar multiplier applied to C. If beta is zero, C 
   *        does not have to be a valid input
   * C      single 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/ssymm.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_EXECUTION_FAILED if function failed to launch on GPU
    * </pre>
    */

/**
     * <pre>
     * void
     * cublasSsymm (char side, char uplo, int m, int n, float alpha,
     *              const float *A, int lda, const float *B, int ldb,
     *              float beta, float *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 single precision scalars, A is a symmetric matrix
     * consisting of single precision elements and stored in either lower or upper
     * storage mode, and B and C are m x n matrices consisting of single 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  single precision scalar multiplier applied to A * B, or B * A
     * A      single 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      single 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   single precision scalar multiplier applied to C. If beta is zero, C
     *        does not have to be a valid input
     * C      single 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/ssymm.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_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

How to use cublasSsymmNativemethodin jcuda.jcublas.JCublas

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How to use
cublasSsymmNative
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jcuda.jcublas.JCublas