Public

If the given result is different to cublasStatus.CUBLAS_STATUS_SUCCESS and
exceptions have been enab

checkResult

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Gson

Parsing JSON documents to java classes using gson

A connection represents a link from a Java application to a database. All SQL
statements and results

java.sql.Connection

A Map is a data structure consisting of a set of keys and values in which each
key is mapped to a si

java.util.Map

The Vector class implements a growable array of objects. Like an array, it
contains components that 

java.util.Vector

A reentrant mutual exclusion Lock with the same basic behavior and semantics as
the implicit monitor

java.util.concurrent.locks.ReentrantLock

Basic implementation of javax.sql.DataSource that is configured via JavaBeans
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/**
     * <pre>
     * void
     * cublasZtrmm (char side, char uplo, char transa, char diag, int m, int n,
     *              cuDoubleComplex alpha, const cuDoubleComplex *A, int lda, const cuDoubleComplex *B,
     *              int ldb)
     *
     * performs one of the matrix-matrix operations
     *
     *   B = alpha * op(A) * B,  or  B = alpha * B * op(A)
     *
     * where alpha is a double-precision complex scalar, B is an m x n matrix composed
     * of double precision complex elements, and A is a unit or non-unit, upper or lower,
     * triangular matrix composed of double precision complex elements. op(A) is one of
     *
     *   op(A) = A  , op(A) = transpose(A) or op(A) = conjugate(transpose(A))
     *
     * Matrices A and B are stored in column major format, and lda and ldb are
     * the leading dimensions of the two-dimensonials arrays that contain A and
     * B, respectively.
     *
     * Input
     * -----
     * side   specifies whether op(A) multiplies B from the left or right.
     *        If side = 'L' or 'l', then B = alpha * op(A) * B. If side =
     *        'R' or 'r', then B = alpha * B * op(A).
     * uplo   specifies whether the matrix A is an upper or lower triangular
     *        matrix. If uplo = 'U' or 'u', A is an upper triangular matrix.
     *        If uplo = 'L' or 'l', A is a lower triangular matrix.
     * transa specifies the form of op(A) to be used in the matrix
     *        multiplication. If transa = 'N' or 'n', then op(A) = A. If
     *        transa = 'T' or 't', then op(A) = transpose(A).
     *        If transa = 'C' or 'c', then op(A) = conjugate(transpose(A)).
     * diag   specifies whether or not 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.
     * m      the number of rows of matrix B. m must be at least zero.
     * n      the number of columns of matrix B. n must be at least zero.
     * alpha  double precision complex scalar multiplier applied to op(A)*B, or
     *        B*op(A), respectively. If alpha is zero no accesses are made
     *        to matrix A, and no read accesses are made to matrix B.
     * A      double precision complex array of dimensions (lda, k). k = m if side =
     *        'L' or 'l', k = n if side = 'R' or 'r'. If uplo = 'U' or 'u'
     *        the leading k x k upper triangular part of the array A must
     *        contain the upper triangular matrix, and the strictly lower
     *        triangular part of A is not referenced. If uplo = 'L' or 'l'
     *        the leading k x k lower triangular part of the array A must
     *        contain the lower triangular matrix, and the strictly upper
     *        triangular part of A is not referenced. When diag = 'U' or 'u'
     *        the diagonal elements of A are no referenced and are assumed
     *        to be unity.
     * 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 complex array of dimensions (ldb, n). On entry, the
     *        leading m x n part of the array contains the matrix B. It is
     *        overwritten with the transformed matrix on exit.
     * ldb    leading dimension of B. It must be at least max (1, m).
     *
     * Output
     * ------
     * B      updated according to B = alpha * op(A) * B  or B = alpha * B * op(A)
     *
     * Reference: http://www.netlib.org/blas/ztrmm.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 < 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 
   * cublasZtrmm (char side, char uplo, char transa, char diag, int m, int n, 
   *              cuDoubleComplex alpha, const cuDoubleComplex *A, int lda, const cuDoubleComplex *B, 
   *              int ldb)
   *
   * performs one of the matrix-matrix operations
   *
   *   B = alpha * op(A) * B,  or  B = alpha * B * op(A)
   *
   * where alpha is a double-precision complex scalar, B is an m x n matrix composed
   * of double precision complex elements, and A is a unit or non-unit, upper or lower, 
   * triangular matrix composed of double precision complex elements. op(A) is one of
   *
   *   op(A) = A  , op(A) = transpose(A) or op(A) = conjugate(transpose(A))
   *
   * Matrices A and B are stored in column major format, and lda and ldb are 
   * the leading dimensions of the two-dimensonials arrays that contain A and 
   * B, respectively.
   *
   * Input
   * -----
   * side   specifies whether op(A) multiplies B from the left or right.
   *        If side = 'L' or 'l', then B = alpha * op(A) * B. If side =
   *        'R' or 'r', then B = alpha * B * op(A).
   * uplo   specifies whether the matrix A is an upper or lower triangular
   *        matrix. If uplo = 'U' or 'u', A is an upper triangular matrix.
   *        If uplo = 'L' or 'l', A is a lower triangular matrix.
   * transa specifies the form of op(A) to be used in the matrix 
   *        multiplication. If transa = 'N' or 'n', then op(A) = A. If
   *        transa = 'T' or 't', then op(A) = transpose(A).
   *        If transa = 'C' or 'c', then op(A) = conjugate(transpose(A)).
   * diag   specifies whether or not 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.
   * m      the number of rows of matrix B. m must be at least zero.
   * n      the number of columns of matrix B. n must be at least zero.
   * alpha  double precision complex scalar multiplier applied to op(A)*B, or
   *        B*op(A), respectively. If alpha is zero no accesses are made
   *        to matrix A, and no read accesses are made to matrix B.
   * A      double precision complex array of dimensions (lda, k). k = m if side =
   *        'L' or 'l', k = n if side = 'R' or 'r'. If uplo = 'U' or 'u'
   *        the leading k x k upper triangular part of the array A must
   *        contain the upper triangular matrix, and the strictly lower
   *        triangular part of A is not referenced. If uplo = 'L' or 'l'
   *        the leading k x k lower triangular part of the array A must
   *        contain the lower triangular matrix, and the strictly upper
   *        triangular part of A is not referenced. When diag = 'U' or 'u'
   *        the diagonal elements of A are no referenced and are assumed
   *        to be unity.
   * 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 complex array of dimensions (ldb, n). On entry, the 
   *        leading m x n part of the array contains the matrix B. It is
   *        overwritten with the transformed matrix on exit.
   * ldb    leading dimension of B. It must be at least max (1, m).
   *
   * Output
   * ------
   * B      updated according to B = alpha * op(A) * B  or B = alpha * B * op(A)
   *
   * Reference: http://www.netlib.org/blas/ztrmm.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 < 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 cublasZtrmmNativemethodin jcuda.jcublas.JCublas

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How to use
cublasZtrmmNative
method
in
jcuda.jcublas.JCublas