New issue 2502: Recipes for a loop with a lot of small functions (splitting long traces?) https://bitbucket.org/pypy/pypy/issues/2502/recipes-for-a-loop-with-a-lot-of-small
Shunning Jiang: I'm dealing a big loop that is expected to execute for 10M-1B iterations. Inside the iteration I will have 500 functions. Inside each function there is not much work going on, basically 5-10 lines of calculations or for i in xrange(2) small loops. I wonder if there is a way to write code differently to avoid generating too long traces. ``` #!python for i in xrange(1000000000): func1() func2() func3() func4() func5() func6() func7() func8() ... func500() ``` The speedup of pypy over cpython is negligible. I looked at jit log and found that there are too many (~100) trace too long aborts. Is there anyway to still get high performance (or let the performance scale with the number of functions) in this case? Thanks! _______________________________________________ pypy-issue mailing list pypy-issue@python.org https://mail.python.org/mailman/listinfo/pypy-issue
