syrk#
Performs a symmetric rank-k update.
Description#
The syrk routines perform a rank-k update of a symmetric matrix C
by a general matrix A. The operation is defined as:
where:
op(
X) is one of op(X) =Xor op(X) =XTalphaandbetaare scalarsCisnxnsymmetric matrix,op(
A) isnxkgeneral matrix
syrk supports the following precisions:
T |
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syrk (Buffer Version)#
Syntax#
namespace oneapi::mkl::blas::column_major {
void syrk(sycl::queue &queue,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
std::int64_t n,
std::int64_t k,
T alpha,
sycl::buffer<T,1> &a,
std::int64_t lda,
T beta,
sycl::buffer<T,1> &c,
std::int64_t ldc,
compute_mode mode = compute_mode::unset)
}
namespace oneapi::mkl::blas::row_major {
void syrk(sycl::queue &queue,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
std::int64_t n,
std::int64_t k,
T alpha,
sycl::buffer<T,1> &a,
std::int64_t lda,
T beta,
sycl::buffer<T,1> &c,
std::int64_t ldc,
compute_mode mode = compute_mode::unset)
}
Input Parameters#
- queue
The queue where the routine should be executed.
- upper_lower
Specifies whether matrix
Cis upper or lower triangular. See Data Types for more details.- trans
Specifies op(
A), the transposition operation applied to matrixA. Conjugation is never performed even iftrans=transpose::conjtrans. See Data Types for more details.- n
Number of rows and columns of matrix
C. Must be at least zero.- k
Number of columns of matrix op(
A). Must be at least zero.- alpha
Scaling factor for the rank-k update.
- a
Buffer holding input matrix
A. See Matrix Storage for more details.trans=transpose::nontranstrans=transpose::transortrans=transpose::conjtransColumn major
Aisnxkmatrix. Size of arrayamust be at leastlda*kAiskxnmatrix. Size of arrayamust be at leastlda*nRow major
Aisnxkmatrix. Size of arrayamust be at leastlda*nAiskxnmatrix. Size of arrayamust be at leastlda*k- lda
Leading dimension of matrix
A. Must be positive.trans=transpose::nontranstrans=transpose::transortrans=transpose::conjtransColumn major
Must be at least
nMust be at least
kRow major
Must be at least
kMust be at least
n- beta
Scaling factor for matrix
C.- c
Buffer holding input/output matrix
C. Size of the buffer must be at leastldc*n. See Matrix Storage for more details.- ldc
Leading dimension of matrix
C. Must be positive and at leastn.- mode
Optional. Compute mode settings. See Compute Modes for more details.
Output Parameters#
- c
Output buffer overwritten by
alpha* op(A) * op(A)T +beta*C.
syrk (USM Version)#
Syntax#
namespace oneapi::mkl::blas::column_major {
sycl::event syrk(sycl::queue &queue,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
std::int64_t n,
std::int64_t k,
oneapi::mkl::value_or_pointer<T> alpha,
const T *a,
std::int64_t lda,
oneapi::mkl::value_or_pointer<T> beta,
T *c,
std::int64_t ldc,
compute_mode mode = compute_mode::unset,
const std::vector<sycl::event> &dependencies = {})
}
namespace oneapi::mkl::blas::row_major {
sycl::event syrk(sycl::queue &queue,
oneapi::mkl::uplo upper_lower,
oneapi::mkl::transpose trans,
std::int64_t n,
std::int64_t k,
oneapi::mkl::value_or_pointer<T> alpha,
const T *a,
std::int64_t lda,
oneapi::mkl::value_or_pointer<T> beta,
T *c,
std::int64_t ldc,
compute_mode mode = compute_mode::unset,
const std::vector<sycl::event> &dependencies = {})
}
Input Parameters#
- queue
The queue where the routine should be executed.
- upper_lower
Specifies whether matrix
Cis upper or lower triangular. See Data Types for more details.- trans
Specifies op(
A), the transposition operation applied to matrixA. Conjugation is never performed even iftrans=transpose::conjtrans. See Data Types for more details.- n
Number of rows and columns of matrix
C. Must be at least zero.- k
Number of columns of matrix op(
A). Must be at least zero.- alpha
Scaling factor for the rank-k update. See Scalar Arguments for more information on the
value_or_pointerdata type.- a
Pointer to input matrix
A. See Matrix Storage for more details.trans=transpose::nontranstrans=transpose::transortrans=transpose::conjtransColumn major
Aisnxkmatrix. Size of arrayamust be at leastlda*kAiskxnmatrix. Size of arrayamust be at leastlda*nRow major
Aisnxkmatrix. Size of arrayamust be at leastlda*nAiskxnmatrix. Size of arrayamust be at leastlda*k- lda
Leading dimension of matrix
A. Must be positive.trans=transpose::nontranstrans=transpose::transortrans=transpose::conjtransColumn major
Must be at least
nMust be at least
kRow major
Must be at least
kMust be at least
n- beta
Scaling factor for matrix
C. See Scalar Arguments for more information on thevalue_or_pointerdata type.- c
Pointer to input/output matrix
C. Size of the array must be at leastldc*n. See Matrix Storage for more details.- ldc
Leading dimension of matrix
C. Must be positive and at leastn.- mode
Optional. Compute mode settings. See Compute Modes for more details.
- dependencies
Optional. List of events to wait for before starting computation, if any. If omitted, defaults to no dependencies.
modeanddependenciesmay be omitted independently; it is not necessary to specifymodein order to provide dependencies.
Output Parameters#
- c
Pointer to output matrix, overwritten by
alpha* op(A) * op(A)T +beta*C.
Return Values#
Output event to wait on to ensure computation is complete.