optimized BLAS functions using SSE2 and SSE3 intrinsic functions More...
#include <cstddef>
#include <cmath>
Go to the source code of this file.
Namespaces | |
viennacl | |
Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them. | |
viennacl::linalg | |
Provides all linear algebra operations which are not covered by operator overloads. | |
viennacl::linalg::host_based | |
Holds all compute kernels with conventional host-based execution (buffers in CPU RAM). | |
viennacl::linalg::host_based::detail | |
Helper functions for the host-based linear algebra backend. | |
Functions | |
template<class T > | |
void | viennacl::linalg::host_based::_axpy (const T *, T *, vcl_size_t, T) |
template<class T > | |
T | viennacl::linalg::host_based::_dot (vcl_size_t, const T *, const T *) |
template<class T > | |
T | viennacl::linalg::host_based::_dotc (vcl_size_t, const T *, const T *) |
template<class T > | |
void | viennacl::linalg::host_based::_swap (vcl_size_t, T *, T *) |
template<class T > | |
void | viennacl::linalg::host_based::_copy (vcl_size_t, T *, T *) |
template<class T > | |
T | viennacl::linalg::host_based::_nrm2 (const T *, vcl_size_t) |
template<class T > | |
T | viennacl::linalg::host_based::detail::conjIfComplex (T x) |
optimized BLAS functions using SSE2 and SSE3 intrinsic functions
Contributed by Alex Christensen.
Definition in file sse_blas.hpp.