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

An abstraction for a native pointer data type. A Pointer instance represents, on
the Java side, a na

com.sun.jna.Pointer

Convenience class for writing character files. The constructors of this class
assume that the defaul

java.io.FileWriter

A readable source of bytes.Most clients will use input streams that read data
from the file system (

java.io.InputStream

This exception is thrown when a timeout expired on a socket read or accept
operation.

java.net.SocketTimeoutException

Resource bundles contain locale-specific objects. When your program needs a
locale-specific resource

java.util.ResourceBundle

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

java.util.concurrent.locks.ReentrantLock

setContentView

getContentResolver

getSystemService

/**
     * <pre>
     * void
     * cublasDsbmv (char uplo, int n, int k, double alpha, const double *A, int lda,
     *              const double *x, int incx, double beta, double *y, int incy)
     *
     * performs the matrix-vector operation
     *
     *     y := alpha*A*x + beta*y
     *
     * alpha and beta are double precision scalars. x and y are double precision
     * vectors with n elements. A is an n by n symmetric band matrix consisting
     * of double precision elements, with k super-diagonals and the same number
     * of subdiagonals.
     *
     * Input
     * -----
     * uplo   specifies whether the upper or lower triangular part of the symmetric
     *        band matrix A is being supplied. If uplo == 'U' or 'u', the upper
     *        triangular part is being supplied. If uplo == 'L' or 'l', the lower
     *        triangular part is being supplied.
     * n      specifies the number of rows and the number of columns of the
     *        symmetric matrix A. n must be at least zero.
     * k      specifies the number of super-diagonals of matrix A. Since the matrix
     *        is symmetric, this is also the number of sub-diagonals. k must be at
     *        least zero.
     * alpha  double precision scalar multiplier applied to A*x.
     * A      double precision array of dimensions (lda, n). When uplo == 'U' or
     *        'u', the leading (k + 1) x n part of array A must contain the upper
     *        triangular band of the symmetric matrix, supplied column by column,
     *        with the leading diagonal of the matrix in row (k+1) of the array,
     *        the first super-diagonal starting at position 2 in row k, and so on.
     *        The top left k x k triangle of the array A is not referenced. When
     *        uplo == 'L' or 'l', the leading (k + 1) x n part of the array A must
     *        contain the lower triangular band part of the symmetric matrix,
     *        supplied column by column, with the leading diagonal of the matrix in
     *        row 1 of the array, the first sub-diagonal starting at position 1 in
     *        row 2, and so on. The bottom right k x k triangle of the array A is
     *        not referenced.
     * lda    leading dimension of A. lda must be at least (k + 1).
     * x      double precision array of length at least (1 + (n - 1) * abs(incx)).
     * incx   storage spacing between elements of x. incx must not be zero.
     * beta   double precision scalar multiplier applied to vector y. If beta is
     *        zero, y is not read.
     * y      double precision array of length at least (1 + (n - 1) * abs(incy)).
     *        If beta is zero, y is not read.
     * incy   storage spacing between elements of y. incy must not be zero.
     *
     * Output
     * ------
     * y      updated according to alpha*A*x + beta*y
     *
     * Reference: http://www.netlib.org/blas/dsbmv.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 k or n < 0, or if incx or incy == 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 
   * cublasDsbmv (char uplo, int n, int k, double alpha, const double *A, int lda,
   *              const double *x, int incx, double beta, double *y, int incy)
   *
   * performs the matrix-vector operation
   *
   *     y := alpha*A*x + beta*y
   *
   * alpha and beta are double precision scalars. x and y are double precision
   * vectors with n elements. A is an n by n symmetric band matrix consisting 
   * of double precision elements, with k super-diagonals and the same number
   * of subdiagonals.
   *
   * Input
   * -----
   * uplo   specifies whether the upper or lower triangular part of the symmetric
   *        band matrix A is being supplied. If uplo == 'U' or 'u', the upper 
   *        triangular part is being supplied. If uplo == 'L' or 'l', the lower 
   *        triangular part is being supplied.
   * n      specifies the number of rows and the number of columns of the
   *        symmetric matrix A. n must be at least zero.
   * k      specifies the number of super-diagonals of matrix A. Since the matrix
   *        is symmetric, this is also the number of sub-diagonals. k must be at
   *        least zero.
   * alpha  double precision scalar multiplier applied to A*x.
   * A      double precision array of dimensions (lda, n). When uplo == 'U' or 
   *        'u', the leading (k + 1) x n part of array A must contain the upper
   *        triangular band of the symmetric matrix, supplied column by column,
   *        with the leading diagonal of the matrix in row (k+1) of the array,
   *        the first super-diagonal starting at position 2 in row k, and so on.
   *        The top left k x k triangle of the array A is not referenced. When
   *        uplo == 'L' or 'l', the leading (k + 1) x n part of the array A must
   *        contain the lower triangular band part of the symmetric matrix, 
   *        supplied column by column, with the leading diagonal of the matrix in
   *        row 1 of the array, the first sub-diagonal starting at position 1 in
   *        row 2, and so on. The bottom right k x k triangle of the array A is
   *        not referenced.
   * lda    leading dimension of A. lda must be at least (k + 1).
   * x      double precision array of length at least (1 + (n - 1) * abs(incx)).
   * incx   storage spacing between elements of x. incx must not be zero.
   * beta   double precision scalar multiplier applied to vector y. If beta is 
   *        zero, y is not read.
   * y      double precision array of length at least (1 + (n - 1) * abs(incy)). 
   *        If beta is zero, y is not read.
   * incy   storage spacing between elements of y. incy must not be zero.
   *
   * Output
   * ------
   * y      updated according to alpha*A*x + beta*y
   *
   * Reference: http://www.netlib.org/blas/dsbmv.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 k or n < 0, or if incx or incy == 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 cublasDsbmvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDsbmvNative
method
in
jcuda.jcublas.JCublas