And of course our implementation is faster ;-)

- separate data types for input arrays of binary operations
  (necessary for the equality comparison of two arrays of different
  type)
- added separate template parameter for ResultType, which defaults to
  the RealType
  (the goal is to allow sum of bool vectors into int instead of bool)

- Use math function from TNL/Math.h instead of the standard library
- Many cosmetic changes for readability

The problem is that the __CUDA_ARCH__ macro is defined only in device
code, so it can't be used for configuring the kernel launches.

Implementace Array Operations pro MIC, vedoucí k zpřehlednění kódu -> kód použitý pro srovnávací test MIC-krakow, MIC-sharedpoiters, MIC-ArrayOperations

Apparently there is an abs function defined in <cstdlib>, which works
only on integers. We want the std::abs overloads defined in <cmath>,
which are used by TNL::abs.

clang rocks!

http://stackoverflow.com/questions/29136607/c-what-is-wrong-with-abs#29136774

This prevented scaling of GMRES on small grids (up to 240x240)!