Hi Richard, On 2 February 2015 at 17:56, Richard Plangger <r...@pasra.at> wrote: > Sorry to bother again. I did not get any response yet. The problem is > that I need a better picture about a topic I could work on for my thesis > and I really would like to contribute to pypy. In this week I would like > to decide what I'm aiming for (otherwise things might get shifted). > > It would be nice to have the information you mentioned earlier in your > email about the method-JIT-like approach and others
Our general topic list is here: http://pypy.readthedocs.org/en/latest/project-ideas.html Others than me should chime in too, because I'm not the best person to recommend what should be worked on in general. Myself, I am particularly interested in the STM work, where there is certainly something to do, although it's a bit hard to plan in advance: it's mostly of the kind: run stuff with pypy-stm, find conflicts, figure out which ones are not inherent to the application but are simply limitations of the interpreter, and then think about ways to avoid them. About the method JIT, we have only vague ideas. I can't give any estimate of how much work it will be, as it depends a lot on details of the approach, like how much of the existing infrastructure can be reused and how much must be redone from scratch. To be clear, we don't even have any clear indication that it would be a good idea. It seems to require more interpreter-specific hints (say for PyPy's Python interpreter) to drive the process, in order to control where it should stop inlining and start emitting calls to the existing functions. The prior work gives mixed results: if you consider for example Jython running on a method-JIT-based Java, it would be similar (minus possible hints we can add), but Jython is not faster than CPython. On the other hand, untyped Cython is usually faster than CPython, but it benefits from gcc's slow optimizations. I would classify it as very much a research project. A bientôt, Armin. _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
