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 post requests using okhttp

Thrown when a program encounters the end of a file or stream during an input
operation.

java.io.EOFException

A connection to a URL for reading or writing. For HTTP connections, see
HttpURLConnection for docume

java.net.URLConnection

Note: Do not use this class since it is obsolete. Please use the Map interface
for new implementatio

java.util.Dictionary

A collection designed for holding elements prior to processing. Besides basic
java.util.Collection o

java.util.Queue

java.util.stream.Collectors

org.hibernate.mapping.Table

Return the contained value, if present, otherwise throw an exception to be
created by the provided s

orElseThrow

compareTo

requestLocationUpdates

/**
     * <pre>
     * void
     * cublasStrmm (char side, char uplo, char transa, char diag, int m, int n,
     *              float alpha, const float *A, int lda, const float *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 single-precision scalar, B is an m x n matrix composed
     * of single precision elements, and A is a unit or non-unit, upper or lower,
     * triangular matrix composed of single precision elements. op(A) is one of
     *
     *   op(A) = A  or  op(A) = 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', 't', 'C', or 'c', then op(A) = 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  single precision 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      single precision 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      single precision 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/strmm.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_EXECUTION_FAILED if function failed to launch on GPU
     * </pre>
     */

/**
   * <pre>
   * void 
   * cublasStrmm (char side, char uplo, char transa, char diag, int m, int n, 
   *              float alpha, const float *A, int lda, const float *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 single-precision scalar, B is an m x n matrix composed
   * of single precision elements, and A is a unit or non-unit, upper or lower, 
   * triangular matrix composed of single precision elements. op(A) is one of
   *
   *   op(A) = A  or  op(A) = 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', 't', 'C', or 'c', then op(A) = 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  single precision 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      single precision 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      single precision 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/strmm.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_EXECUTION_FAILED if function failed to launch on GPU
   * </pre>
   */

How to use cublasStrmmNativemethodin jcuda.jcublas.JCublas

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How to use
cublasStrmmNative
method
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jcuda.jcublas.JCublas