No I mean parallel python http://www.parallelpython.com/ which gets
around the problem of the GIL.
On 04/27/2014 06:48 AM, F. B. wrote:
I am not very expert of parallel processing in Python, but as no one
else is answering, and supposing you mean multithreading, I'll point
out the problem concerned with multithreading in Python.
Python's main implementation, CPython, has a Global Interpreter Lock
(GIL), which forbids the interpreter to create new threads. When you
use modules such as threads, CPython is still using a single thread
which emulates multithreading. I don't believe you will get some
speedup, that threading support looks more like a control flow on the
code.
http://en.wikipedia.org/wiki/Global_Interpreter_Lock
Multiprocessing should be able to fork an independent process on the
CPU, but unfortunately a new process requires the memory space of the
previous process to be cloned as well, which may be not very
comfortable. IPython supports cluster distribution of computations on
many computers.
PyPy should have a better support for multithreading, as far as I know.
On Friday, April 25, 2014 6:13:01 PM UTC+2, brombo wrote:
Has anyone had any experience in using parallel python with sympy. It
seems to me that there are probably a lot of loops that have
independent
operations.
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