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

Finding current android device location

ObjectMapper provides functionality for reading and writing JSON, either to and
from basic POJOs (Pl

com.fasterxml.jackson.databind.ObjectMapper

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

java.awt.Rectangle

Thrown when a file specified by a program cannot be found.

java.io.FileNotFoundException

Fake signature of an existing Java class.

java.io.PrintStream

This exception is thrown when a program attempts to create an URL from an
incorrect specification.

java.net.MalformedURLException

Defines the contract between a returned instance and the runtime when an
application needs to provid

javax.ws.rs.core.Response

getSupportFragmentManager

scheduleAtFixedRate

getApplicationContext

/**
   * <pre>
   * void 
   * cublasChemm (char side, char uplo, int m, int n, cuComplex alpha, 
   *              const cuComplex *A, int lda, const cuComplex *B, int ldb, 
   *              cuComplex beta, cuComplex *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 complex scalars, A is a hermitian matrix
   * consisting of single precision complex elements and stored in either lower or upper 
   * storage mode, and B and C are m x n matrices consisting of single precision
   * complex elements.
   *
   * Input
   * -----
   * side   specifies whether the hermitian 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 hermitian matrix A is stored in upper or lower 
   *        storage mode, as follows. If uplo == 'U' or 'u', only the upper 
   *        triangular part of the hermitian 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 hermitian 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 hermitian 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 hermitian 
   *        matrix A when side == 'R' or 'r'. n must be at least zero.
   * alpha  single precision complex scalar multiplier applied to A * B, or B * A
   * A      single precision complex 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 hermitian matrix, 
   *        such that when uplo == 'U' or 'u', the leading m x m part stores the 
   *        upper triangular part of the hermitian 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 
   *        hermitian 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 hermitian matrix, such that when uplo == 'U' or 'u',
   *        the leading n x n part stores the upper triangular part of the 
   *        hermitian 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 hermitian matrix and the 
   *        strictly upper triangular part is not referenced. The imaginary parts
   *        of the diagonal elements need not be set, they are assumed to be zero.
   * 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 complex 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 complex scalar multiplier applied to C. If beta is zero, C 
   *        does not have to be a valid input
   * C      single precision complex 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/chemm.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
     * cublasChemm (char side, char uplo, int m, int n, cuComplex alpha,
     *              const cuComplex *A, int lda, const cuComplex *B, int ldb,
     *              cuComplex beta, cuComplex *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 complex scalars, A is a hermitian matrix
     * consisting of single precision complex elements and stored in either lower or upper
     * storage mode, and B and C are m x n matrices consisting of single precision
     * complex elements.
     *
     * Input
     * -----
     * side   specifies whether the hermitian 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 hermitian matrix A is stored in upper or lower
     *        storage mode, as follows. If uplo == 'U' or 'u', only the upper
     *        triangular part of the hermitian 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 hermitian 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 hermitian 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 hermitian
     *        matrix A when side == 'R' or 'r'. n must be at least zero.
     * alpha  single precision complex scalar multiplier applied to A * B, or B * A
     * A      single precision complex 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 hermitian matrix,
     *        such that when uplo == 'U' or 'u', the leading m x m part stores the
     *        upper triangular part of the hermitian 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
     *        hermitian 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 hermitian matrix, such that when uplo == 'U' or 'u',
     *        the leading n x n part stores the upper triangular part of the
     *        hermitian 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 hermitian matrix and the
     *        strictly upper triangular part is not referenced. The imaginary parts
     *        of the diagonal elements need not be set, they are assumed to be zero.
     * 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 complex 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 complex scalar multiplier applied to C. If beta is zero, C
     *        does not have to be a valid input
     * C      single precision complex 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/chemm.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 cublasChemmNativemethodin jcuda.jcublas.JCublas

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cublasChemmNative
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