Nathaniel Smith <n...@pobox.com> wrote: >> with numpy.accelerate: >> x = <expression> >> y = <expression> >> z = <expression> >> # evaluation of x,y,z happens here > > Using an alternative evaluation engine is indeed another way to > optimize execution, which is why projects like numexpr, numba, theano, > etc. exist. But this is basically switching to a different language in > a different VM.
I was not thinking that complicated. Let us focus on what an unmodified CPython can do. A compound expression with arrays can also be seen as a pipeline. Imagine what would happen if in "NumPy 2.0" arithmetic operators returned coroutines instead of temporary arrays. That way an expression could be evaluated chunkwise, and the chunks would be small enough to fit in cache. Sturla _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
