Joel Falcou wrote:
Stephan Tolksdorf a écrit :
you think the library will provide competitive performance for the specific vector sizes of N=1,2,3,4? Well, Boost.SIMD has a different scope. It provides pervasive acces to SIMD facility (SIMD vector of 1 element are rather useless) vector of 2 and 4 that can be mapped on proper native intrinsic type will benefit from SIMD acceleration, other will benefit from agressive inlining of boost::array.
An efficient and well tested scalar math library as the by-product of a generic SIMD vector library certainly wouldn't be useless, and I'd guess that an SSE scalar implementation would look pretty similar to the SSE vector implementation...
BTW, are you aware of the Eigen library: http://eigen.tuxfamily.org Well, considering my PHD thesis was writing such a library I am. I send you back the question, are you aware of NT2 : http://nt2.sourceforge.net ?
cause it's the project this Boost.SIMD is actually extarcted from ;)
I obviously wasn't. It's a bit unfortunate that there are so many parallel development efforts in the area of template libraries for linear algebra: ublas, mtl, eigen, nt2... Have you thought about joining efforts with the Eigen guys? I'm no expert in this area, but their benchmark numbers look pretty compelling and the API seems to support fixed-size vectors in an elegant way. There would probably be huge economies of scale if the C++ community converged towards a single template matrix library. Stephan