Hi This is a fairly naive question from a newbie...
The pypy JIT takes a while to work out which parts of python code need optimization etc, and only after that phase do the speedups become relevant. Have there been any efforts (indeed, is it a feasible idea at all) that look at saving these optimizations for future runs of the same codebase? The advantages would be for: * Small programs that get run frequently - you could pre-tune the JIT but running a longer batch and then save the results and take advantage of them from startup * Application restarts not causing a slowdown (my case is a web application server - it would be nice if the first N page views weren't terribly slow as they are now) Cheers David -- David Fraser St James Software _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
