On Nov 19, 2010, at 11:10 AM, Benedikt Meurer wrote: > > Well, it is a research project, and it was driven by actual demand. A JIT engine for PHP is something less interesting from a university point of view, unless there are companies willing to sponsor/help the development. > > But from my personal experience, there is not really a lot to gain w.r.t. PHP. Delivering website content does not involve complex computations or processing, it is mostly I/O bound, depending on a fast database engine, a fast webserver, decent text processing throughput, etc. I may be wrong here, I think you are. As said by someone previously facebook got a 2x speedup on CPU by optimizing PHP. Websites are not just getting something from a database and echoing it. > but I doubt that you'd see relevant speedups on large websites by simply JITting the PHP code. > > Also PHP code is less likely to change at runtime, so there's no real need to acutally JIT compile it. You could use a lot simpler techniques here to improve performance. For example, just write a simple PHP to C compiler, compiling your PHP code to native code via C, and let the webserver run the native code instead. With some clever compilation scheme, this should outperform any JIT engine, with a lot less effort. I think it may actually be more effort to do an efficient compiler than a JIT on languages like PHP For instance the team behind the Druby project ( http://www.cs.umd.edu/projects/PL/druby/publications.html ) first tried to do some static type inference on ruby code but then switched to a dynamic approach because it was too hard to infer statically. > > Anyway, this seems to be off-topic here... Sure > > Benedikt > _______________________________________________ > Caml-list mailing list. Subscription management: > http://yquem.inria.fr/cgi-bin/mailman/listinfo/caml-list > Archives: http://caml.inria.fr > Beginner's list: http://groups.yahoo.com/group/ocaml_beginners > Bug reports: http://caml.inria.fr/bin/caml-bugs