/*
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[auto_generated]
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boost/numeric/odeint/external/mkl/mkl_operations.hpp
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[begin_description]
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Wrapper classes for intel math kernel library types.
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Get a free, non-commercial download of MKL at
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http://software.intel.com/en-us/articles/non-commercial-software-download/
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[end_description]
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Copyright 2010-2011 Mario Mulansky
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Copyright 2011-2013 Karsten Ahnert
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Distributed under the Boost Software License, Version 1.0.
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(See accompanying file LICENSE_1_0.txt or
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copy at http://www.boost.org/LICENSE_1_0.txt)
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*/
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#ifndef BOOST_NUMERIC_ODEINT_EXTERNAL_MKL_MKL_OPERATIONS_HPP_INCLUDED
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#define BOOST_NUMERIC_ODEINT_EXTERNAL_MKL_MKL_OPERATIONS_HPP_INCLUDED
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#include <iostream>
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#include <mkl_cblas.h>
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#include <boost/numeric/odeint/algebra/default_operations.hpp>
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/* exemplary example for writing bindings to the Intel MKL library
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* see test/mkl for how to use mkl with odeint
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* this is a quick and dirty implementation showing the general possibility.
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* It works only with containers based on double and sequential memory allocation.
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*/
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namespace boost {
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namespace numeric {
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namespace odeint {
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/* only defined for doubles */
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struct mkl_operations
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{
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//template< class Fac1 , class Fac2 > struct scale_sum2;
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template< class F1 = double , class F2 = F1 >
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struct scale_sum2
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{
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typedef double Fac1;
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typedef double Fac2;
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const Fac1 m_alpha1;
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const Fac2 m_alpha2;
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scale_sum2( const Fac1 alpha1 , const Fac2 alpha2 ) : m_alpha1( alpha1 ) , m_alpha2( alpha2 ) { }
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template< class T1 , class T2 , class T3 >
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void operator()( T1 &t1 , const T2 &t2 , const T3 &t3) const
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{ // t1 = m_alpha1 * t2 + m_alpha2 * t3;
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// we get Containers that have size() and [i]-access
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const int n = t1.size();
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//boost::numeric::odeint::copy( t1 , t3 );
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if( &(t2[0]) != &(t1[0]) )
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{
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cblas_dcopy( n , &(t2[0]) , 1 , &(t1[0]) , 1 );
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}
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cblas_dscal( n , m_alpha1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha2 , &(t3[0]) , 1 , &(t1[0]) , 1 );
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//daxpby( &n , &m_alpha2 , &(t3[0]) , &one , &m_alpha1 , &(t1[0]) , &one );
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}
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};
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template< class F1 = double , class F2 = F1 , class F3 = F2 >
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struct scale_sum3
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{
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typedef double Fac1;
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typedef double Fac2;
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typedef double Fac3;
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const Fac1 m_alpha1;
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const Fac2 m_alpha2;
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const Fac3 m_alpha3;
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scale_sum3( const Fac1 alpha1 , const Fac2 alpha2 , const Fac3 alpha3 )
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: m_alpha1( alpha1 ) , m_alpha2( alpha2 ) , m_alpha3( alpha3 ) { }
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template< class T1 , class T2 , class T3 , class T4 >
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void operator()( T1 &t1 , const T2 &t2 , const T3 &t3 , const T4 &t4 ) const
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{ // t1 = m_alpha1 * t2 + m_alpha2 * t3 + m_alpha3 * t4;
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// we get Containers that have size() and [i]-access
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const int n = t1.size();
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//boost::numeric::odeint::copy( t1 , t3 );
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if( &(t2[0]) != &(t1[0]) )
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{
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cblas_dcopy( n , &(t2[0]) , 1 , &(t1[0]) , 1 );
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}
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cblas_dscal( n , m_alpha1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha2 , &(t3[0]) , 1 , &(t1[0]) , 1 );
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//daxpby( &n , &m_alpha2 , &(t3[0]) , &one , &m_alpha1 , &(t1[0]) , &one );
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cblas_daxpy( n , m_alpha3 , &(t4[0]) , 1 , &(t1[0]) , 1 );
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}
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};
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template< class F1 = double , class F2 = F1 , class F3 = F2 , class F4 = F3 >
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struct scale_sum4
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{
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typedef double Fac1;
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typedef double Fac2;
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typedef double Fac3;
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typedef double Fac4;
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const Fac1 m_alpha1;
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const Fac2 m_alpha2;
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const Fac3 m_alpha3;
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const Fac4 m_alpha4;
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scale_sum4( const Fac1 alpha1 , const Fac2 alpha2 , const Fac3 alpha3 , const Fac4 alpha4 )
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: m_alpha1( alpha1 ) , m_alpha2( alpha2 ) , m_alpha3( alpha3 ) , m_alpha4( alpha4 ) { }
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template< class T1 , class T2 , class T3 , class T4 , class T5 >
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void operator()( T1 &t1 , const T2 &t2 , const T3 &t3 , const T4 &t4 , const T5 &t5 ) const
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{ // t1 = m_alpha1 * t2 + m_alpha2 * t3 + m_alpha3 * t4 + m_alpha4 * t5;
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// we get Containers that have size() and [i]-access
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const int n = t1.size();
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//boost::numeric::odeint::copy( t1 , t3 );
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if( &(t2[0]) != &(t1[0]) )
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{
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cblas_dcopy( n , &(t2[0]) , 1 , &(t1[0]) , 1 );
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}
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cblas_dscal( n , m_alpha1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha2 , &(t3[0]) , 1 , &(t1[0]) , 1 );
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//daxpby( &n , &m_alpha2 , &(t3[0]) , &one , &m_alpha1 , &(t1[0]) , &one );
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cblas_daxpy( n , m_alpha3 , &(t4[0]) , 1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha4 , &(t5[0]) , 1 , &(t1[0]) , 1 );
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}
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};
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template< class F1 = double , class F2 = F1 , class F3 = F2 , class F4 = F3 , class F5 = F4 >
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struct scale_sum5
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{
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typedef double Fac1;
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typedef double Fac2;
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typedef double Fac3;
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typedef double Fac4;
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typedef double Fac5;
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const Fac1 m_alpha1;
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const Fac2 m_alpha2;
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const Fac3 m_alpha3;
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const Fac4 m_alpha4;
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const Fac5 m_alpha5;
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scale_sum5( const Fac1 alpha1 , const Fac2 alpha2 , const Fac3 alpha3 , const Fac4 alpha4 , const Fac5 alpha5 )
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: m_alpha1( alpha1 ) , m_alpha2( alpha2 ) , m_alpha3( alpha3 ) , m_alpha4( alpha4 ) , m_alpha5( alpha5 ) { }
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template< class T1 , class T2 , class T3 , class T4 , class T5 , class T6 >
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void operator()( T1 &t1 , const T2 &t2 , const T3 &t3 , const T4 &t4 , const T5 &t5 , const T6 &t6 ) const
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{ // t1 = m_alpha1 * t2 + m_alpha2 * t3 + m_alpha3 * t4 + m_alpha4 * t5 + m_alpha5 * t6;
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// we get Containers that have size() and [i]-access
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const int n = t1.size();
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//boost::numeric::odeint::copy( t1 , t3 );
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if( &(t2[0]) != &(t1[0]) )
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{
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cblas_dcopy( n , &(t2[0]) , 1 , &(t1[0]) , 1 );
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}
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cblas_dscal( n , m_alpha1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha2 , &(t3[0]) , 1 , &(t1[0]) , 1 );
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//daxpby( &n , &m_alpha2 , &(t3[0]) , &one , &m_alpha1 , &(t1[0]) , &one );
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cblas_daxpy( n , m_alpha3 , &(t4[0]) , 1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha4 , &(t5[0]) , 1 , &(t1[0]) , 1 );
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cblas_daxpy( n , m_alpha5 , &(t6[0]) , 1 , &(t1[0]) , 1 );
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}
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};
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};
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} // odeint
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} // numeric
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} // boost
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#endif // BOOST_NUMERIC_ODEINT_EXTERNAL_MKL_MKL_OPERATIONS_HPP_INCLUDED
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