spr#
Performs a rank-1 update of a symmetric packed matrix.
Description
The spr routines compute a scalar-vector-vector product and add the
result to a symmetric packed matrix. The operation is defined as:
where:
alpha is scalar,
A is an n-by-n symmetric matrix, supplied in packed form,
x is a vector of length n.
spr supports the following precisions.
T
float
double
spr (Buffer Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
    void spr(sycl::queue &queue,
             oneapi::mkl::uplo upper_lower,
             std::std::int64_t n,
             T alpha,
             sycl::buffer<T,1> &x,
             std::int64_t incx,
             sycl::buffer<T,1> &a)
}
namespace oneapi::mkl::blas::row_major {
    void spr(sycl::queue &queue,
             oneapi::mkl::uplo upper_lower,
             std::std::int64_t n,
             T alpha,
             sycl::buffer<T,1> &x,
             std::int64_t incx,
             sycl::buffer<T,1> &a)
}
Input Parameters
- queue
 The queue where the routine should be executed.
- upper_lower
 Specifies whether
Ais upper or lower triangular. See oneMKL defined datatypes for more details.- n
 Number of rows and columns of
A. Must be at least zero.- alpha
 Scaling factor for the matrix-vector product.
- x
 Buffer holding input vector
x. The buffer must be of size at least (1 + (n- 1)*abs(incx)). See Matrix Storage for more details.- incx
 Stride of vector
x. Must not be zero.- a
 Buffer holding input matrix
A. Must have size at least (n*(n+ 1))/2. See Matrix Storage for more details.
Output Parameters
- a
 Buffer holding the updated upper triangular part of the symmetric matrix
Aifupper_lower=upper, or the updated lower triangular part of the symmetric matrixAifupper_lower=lower.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
spr (USM Version)#
Syntax
namespace oneapi::mkl::blas::column_major {
    sycl::event spr(sycl::queue &queue,
                    oneapi::mkl::uplo upper_lower,
                    std::int64_t n,
                    value_or_pointer<T> alpha,
                    const T *x,
                    std::int64_t incx,
                    T *a,
                    const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
    sycl::event spr(sycl::queue &queue,
                    oneapi::mkl::uplo upper_lower,
                    std::int64_t n,
                    value_or_pointer<T> alpha,
                    const T *x,
                    std::int64_t incx,
                    T *a,
                    const std::vector<sycl::event> &dependencies = {})
}
Input Parameters
- queue
 The queue where the routine should be executed.
- upper_lower
 Specifies whether
Ais upper or lower triangular. See oneMKL defined datatypes for more details.- n
 Number of rows and columns of
A. Must be at least zero.- alpha
 Scaling factor for the matrix-vector product. See Scalar Arguments in BLAS for more details.
- x
 Pointer to input vector
x. The array holding input vectorxmust be of size at least (1 + (n- 1)*abs(incx)). See Matrix Storage for more details.- incx
 Stride of vector
x. Must not be zero.- a
 Pointer to input matrix
A. The array holding input matrixAmust have size at least (n*(n+ 1))/2. See Matrix Storage for more details.- dependencies
 List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
Output Parameters
- a
 Pointer to the updated upper triangular part of the symmetric matrix
Aifupper_lower=upper, or the updated lower triangular part of the symmetric matrixAifupper_lower=lower.
Return Values
Output event to wait on to ensure computation is complete.
Throws
This routine shall throw the following exceptions if the associated condition is detected. An implementation may throw additional implementation-specific exception(s) in case of error conditions not covered here.
oneapi::mkl::unsupported_device
Parent topic: BLAS Level 2 Routines