syevd_scratchpad_size#
Computes size of scratchpad memory required for syevd function.
Description
syevd_scratchpad_size supports the following precisions.
T
float
double
Computes the number of elements of type T the scratchpad memory to be passed to syevd function should be able to hold.
Calls to this routine must specify the template parameter explicitly.
syevd_scratchpad_size#
Syntax
namespace oneapi::mkl::lapack {
template <typename T>
std::int64_t syevd_scratchpad_size(sycl::queue &queue, oneapi::mkl::job jobz, oneapi::mkl::uplo upper_lower, std::int64_t n, std::int64_t lda)
}
Input Parameters
- queue
Device queue where calculations by syevd function will be performed.
- jobz
Must be
job::novecorjob::vec.If
jobz = job::novec, then only eigenvalues are computed.If
jobz = job::vec, then eigenvalues and eigenvectors are computed.- upper_lower
Must be
uplo::upperoruplo::lower.If
upper_lower = job::upper, a stores the upper triangular part of \(A\).If
upper_lower = job::lower, a stores the lower triangular part of \(A\).- n
The order of the matrix \(A\) (\(0 \le n\)).
- lda
The leading dimension of
a. Currentlyldais not referenced in this function.
Return Value
The number of elements of type T the scratchpad memory to be passed to syevd function should be able to hold.
Parent topic: LAPACK Singular Value and Eigenvalue Problem Routines