Exemple #1
0
/*!\brief Estimating the necessary number of steps for each benchmark.
//
// \param run The parameters for the benchmark run.
// \return void
//
// This function estimates the necessary number of steps for the given benchmark based on the
// performance of the Blaze library.
*/
void estimateSteps( SparseRun& run )
{
   using blazemark::real;
   using blaze::rowMajor;
   using blaze::columnMajor;

   const size_t N( run.getSize() );
   const size_t F( run.getNonZeros() );

   blaze::CompressedMatrix<real,columnMajor> A( N, N, N*F ), C( N, N );
   blaze::CompressedMatrix<real,rowMajor> B( N, N, N*F );
   blaze::timing::WcTimer timer;
   double wct( 0.0 );
   size_t steps( 1UL );

   for( size_t j=0UL; j<N; ++j ) {
      A.reserve( j, F );
      blazemark::Indices indices( N, F );
      for( blazemark::Indices::Iterator it=indices.begin(); it!=indices.end(); ++it ) {
         A.append( *it, j, real(0.1) );
      }
   }

   for( size_t i=0UL; i<N; ++i ) {
      B.reserve( i, F );
      blazemark::Indices indices( N, F );
      for( blazemark::Indices::Iterator it=indices.begin(); it!=indices.end(); ++it ) {
         B.append( i, *it, real(0.1) );
      }
   }

   while( true ) {
      timer.start();
      for( size_t i=0UL; i<steps; ++i ) {
         C = A + B;
      }
      timer.end();
      wct = timer.last();
      if( wct >= 0.2 ) break;
      steps *= 2UL;
   }

   if( C.rows() != N )
      std::cerr << " Line " << __LINE__ << ": ERROR detected!!!\n";

   run.setSteps( blaze::max( 1UL, ( blazemark::runtime * steps ) / timer.last() ) );
}
Exemple #2
0
/*!\brief Estimating the necessary number of steps for each benchmark.
//
// \param run The parameters for the benchmark run.
// \return void
//
// This function estimates the necessary number of steps for the given benchmark based on the
// performance of the Blaze library.
*/
void estimateSteps( SparseRun& run )
{
   using blazemark::real;
   using blaze::columnVector;

   const size_t N( run.getSize() );
   const size_t F( run.getNonZeros() );

   blaze::CompressedVector<real,columnVector> a( N, F ), b( N, F ), c( N );
   blaze::timing::WcTimer timer;
   double wct( 0.0 );
   size_t steps( 1UL );

   {
      blazemark::Indices indices( N, F );
      for( blazemark::Indices::Iterator it=indices.begin(); it!=indices.end(); ++it ) {
         a[*it] = real(0.1);
      }
   }

   {
      blazemark::Indices indices( N, F );
      for( blazemark::Indices::Iterator it=indices.begin(); it!=indices.end(); ++it ) {
         b[*it] = real(0.1);
      }
   }

   while( true ) {
      timer.start();
      for( size_t i=0UL; i<steps; ++i ) {
         c = a * b;
      }
      timer.end();
      wct = timer.last();
      if( wct >= 0.2 ) break;
      steps *= 2UL;
   }

   if( c.size() != N )
      std::cerr << " Line " << __LINE__ << ": ERROR detected!!!\n";

   run.setSteps( blaze::max( 1UL, ( blazemark::runtime * steps ) / timer.last() ) );
}