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

 A Java virtual machine.

 A VirtualMachine represents a Java virtual machine to which this Java vir

com.sun.tools.attach.VirtualMachine

A Window object is a top-level window with no borders and no menubar. The
default layout for a windo

java.awt.Window

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

java.io.EOFException

HashMap is an implementation of Map. All optional operations are supported.All
elements are permitte

java.util.HashMap

A Set is a data structure which does not allow duplicate elements.

java.util.Set

scala.Option

getResourceAsStream

runOnUiThread

getApplicationContext

/**
     * <pre>
     * void
     * cublasDspmv (char uplo, int n, double alpha, const double *AP, 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, and x and y are double
     * precision vectors with n elements. A is a symmetric n x n matrix
     * consisting of double precision elements that is supplied in packed form.
     *
     * Input
     * -----
     * uplo   specifies whether the matrix data is stored in the upper or the lower
     *        triangular part of array AP. If uplo == 'U' or 'u', then the upper
     *        triangular part of A is supplied in AP. If uplo == 'L' or 'l', then
     *        the lower triangular part of A is supplied in AP.
     * n      specifies the number of rows and columns of the matrix A. It must be
     *        at least zero.
     * alpha  double precision scalar multiplier applied to A*x.
     * AP     double precision array with at least ((n * (n + 1)) / 2) elements. If
     *        uplo == 'U' or 'u', the array AP contains the upper triangular part
     *        of the symmetric matrix A, packed sequentially, column by column;
     *        that is, if i <= j, then A[i,j] is stored is AP[i+(j*(j+1)/2)]. If
     *        uplo == 'L' or 'L', the array AP contains the lower triangular part
     *        of the symmetric matrix A, packed sequentially, column by column;
     *        that is, if i >= j, then A[i,j] is stored in AP[i+((2*n-j+1)*j)/2].
     * 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;
     * 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 y = alpha*A*x + beta*y
     *
     * Reference: http://www.netlib.org/blas/dspmv.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 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 
   * cublasDspmv (char uplo, int n, double alpha, const double *AP, 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, and x and y are double 
   * precision vectors with n elements. A is a symmetric n x n matrix 
   * consisting of double precision elements that is supplied in packed form.
   *
   * Input
   * -----
   * uplo   specifies whether the matrix data is stored in the upper or the lower
   *        triangular part of array AP. If uplo == 'U' or 'u', then the upper 
   *        triangular part of A is supplied in AP. If uplo == 'L' or 'l', then 
   *        the lower triangular part of A is supplied in AP.
   * n      specifies the number of rows and columns of the matrix A. It must be
   *        at least zero.
   * alpha  double precision scalar multiplier applied to A*x.
   * AP     double precision array with at least ((n * (n + 1)) / 2) elements. If
   *        uplo == 'U' or 'u', the array AP contains the upper triangular part 
   *        of the symmetric matrix A, packed sequentially, column by column; 
   *        that is, if i <= j, then A[i,j] is stored is AP[i+(j*(j+1)/2)]. If 
   *        uplo == 'L' or 'L', the array AP contains the lower triangular part 
   *        of the symmetric matrix A, packed sequentially, column by column; 
   *        that is, if i >= j, then A[i,j] is stored in AP[i+((2*n-j+1)*j)/2].
   * 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;
   * 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 y = alpha*A*x + beta*y
   *
   * Reference: http://www.netlib.org/blas/dspmv.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 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 cublasDspmvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDspmvNative
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jcuda.jcublas.JCublas