ViennaCL - The Vienna Computing Library  1.6.0
Free open-source GPU-accelerated linear algebra and solver library.
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sse_blas.hpp File Reference

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 >
viennacl::linalg::host_based::_dot (vcl_size_t, const T *, const T *)
 
template<class 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 >
viennacl::linalg::host_based::_nrm2 (const T *, vcl_size_t)
 
template<class T >
viennacl::linalg::host_based::detail::conjIfComplex (T x)
 

Detailed Description

optimized BLAS functions using SSE2 and SSE3 intrinsic functions

Contributed by Alex Christensen.

Definition in file sse_blas.hpp.