Hi everyone, I’m a master student in Japan and I want to do some research in PyPy/RPython. I have read some papers about PyPy and I also had some ideas about it. I have communicated with Mr. Bloz and been advised to send my question here.
Actually, I wonder if it is possible to make an automatic parallelization for the trace generated by JIT, that is, check if the hot loop is a parallel loop, if so, then try to run the trace parallel in multi-core CPU or GPU, make it faster. I think it maybe suitable because: 1. The traced-base JIT is targeting on loops, which is straight to parallel computation. 2. There is no control-flow in trace, which is suitable to the fragment program in GPU. 3. We may use the hint of @elidable in interpreter codes, since the elidable functions are nonsensitive in the execution ordering so can be executed parallel. What do you think about it? Best Regards, Huang Ruochen _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev
