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
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checkResultBLAS

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Wraps an existing Writer and buffers the output. Expensive interaction with the
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java.io.BufferedWriter

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

java.io.FileNotFoundException

 Calendar is an abstract base class for converting between a Date object and a
set of integer fields

java.util.Calendar

LinkedHashMap is an implementation of Map that guarantees iteration order. All
optional operations a

java.util.LinkedHashMap

An int value that may be updated atomically. See the java.util.concurrent.atomic
package specificati

java.util.concurrent.atomic.AtomicInteger

javax.imageio.ImageIO

getApplicationContext

Return the contained value, if present, otherwise throw an exception to be
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orElseThrow

Return the original filename in the client's filesystem.This may contain path
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getOriginalFilename

/**
     * <pre>
     * void
     * cublasDtpmv (char uplo, char trans, char diag, int n, const double *AP,
     *              double *x, int incx);
     *
     * performs one of the matrix-vector operations x = op(A) * x, where op(A) = A,
     * or op(A) = transpose(A). x is an n element double precision vector, and A
     * is an n x n, unit or non-unit, upper or lower triangular matrix composed
     * of double precision elements.
     *
     * Input
     * -----
     * uplo   specifies whether the matrix A is an upper or lower triangular
     *        matrix. If uplo == 'U' or 'u', then A is an upper triangular matrix.
     *        If uplo == 'L' or 'l', then A is a lower triangular matrix.
     * trans  specifies op(A). If transa == 'N' or 'n', op(A) = A. If trans == 'T',
     *        't', 'C', or 'c', op(A) = transpose(A)
     * diag   specifies whether or not matrix 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.
     * n      specifies the number of rows and columns of the matrix A. n must be
     *        at least zero. In the current implementation n must not exceed 4070.
     * 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 in 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)).
     *        On entry, x contains the source vector. On exit, x is overwritten
     *        with the result vector.
     * incx   specifies the storage spacing for elements of x. incx must not be
     *        zero.
     *
     * Output
     * ------
     * x      updated according to x = op(A) * x,
     *
     * Reference: http://www.netlib.org/blas/dtpmv.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 incx == 0 or n < 0
     * CUBLAS_STATUS_ALLOC_FAILED     if function cannot allocate enough internal scratch vector memory
     * 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 
   * cublasDtpmv (char uplo, char trans, char diag, int n, const double *AP, 
   *              double *x, int incx);
   *
   * performs one of the matrix-vector operations x = op(A) * x, where op(A) = A,
   * or op(A) = transpose(A). x is an n element double precision vector, and A 
   * is an n x n, unit or non-unit, upper or lower triangular matrix composed 
   * of double precision elements.
   *
   * Input
   * -----
   * uplo   specifies whether the matrix A is an upper or lower triangular
   *        matrix. If uplo == 'U' or 'u', then A is an upper triangular matrix.
   *        If uplo == 'L' or 'l', then A is a lower triangular matrix.
   * trans  specifies op(A). If transa == 'N' or 'n', op(A) = A. If trans == 'T',
   *        't', 'C', or 'c', op(A) = transpose(A)
   * diag   specifies whether or not matrix 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.
   * n      specifies the number of rows and columns of the matrix A. n must be 
   *        at least zero. In the current implementation n must not exceed 4070.
   * 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 in 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)).
   *        On entry, x contains the source vector. On exit, x is overwritten 
   *        with the result vector.
   * incx   specifies the storage spacing for elements of x. incx must not be 
   *        zero.
   *
   * Output
   * ------
   * x      updated according to x = op(A) * x,
   *
   * Reference: http://www.netlib.org/blas/dtpmv.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 incx == 0 or n < 0
   * CUBLAS_STATUS_ALLOC_FAILED     if function cannot allocate enough internal scratch vector memory 
   * 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 cublasDtpmvNativemethodin jcuda.jcublas.JCublas

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How to use
cublasDtpmvNative
method
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jcuda.jcublas.JCublas