Hi all, I am a Haskell newbie, but have been interested in Haskell (and generally speaking ML-derivates) for some time. I am currently evaluating different languages for implementing an application which will have to manipulate large graphs representing the structure of programs and their evolution. In this respect, I need to find a language which offers a proper paradigm for implementation of graph algorithms (possibly involing some AI techniques), while offering great speed. Speed is in fact a crucial criterium for the language choice. I once read that Haskell was rather slow, especially when compared to Standard ML, which seems to be confirmed by "The Great Computer Language Shootout" (http://www.bagley.org/~doug/shootout/craps.shtml). However, this performance comparison seems rather outdated, so I wanted to know if GHC had improved in performance in the meantime. For now, the (somewhat unpleasing) conclusion I came with is that a Java (app core), Python (proto, UI) plus some interfaced C++ libs would be OK... but I would largely prefer to use a fonctional language for my application core. OCaml would have been just great, if only it had a properly designed library and a decent syntax... like Haskell ! What do you Haskell-experts could say about using Haskell for an application requiring graph processing performance ? TIA, -- Sébastien