On Mar 7, 9:47 pm, William Stein wrote:
> With a function as *trivial* as your f above, the overhead of
> @parallel will kill your benchmark. As I explained, for *every*
> single call, an entire copy of Sage is forked off. This is no problem
> if evaluating f takes at least a second (say), but i
On Sun, Mar 7, 2010 at 7:40 PM, Gokhan Sever wrote:
>
>
> On Mar 7, 8:45 pm, William Stein wrote:
>> On Sun, Mar 7, 2010 at 5:06 PM, Gokhan Sever wrote:
>> > Parallel Python is a separate module. IPython is the interactive
>> > Python interpreter that comes with Sage. However to use the IPython
On Mar 7, 8:45 pm, William Stein wrote:
> On Sun, Mar 7, 2010 at 5:06 PM, Gokhan Sever wrote:
> > Parallel Python is a separate module. IPython is the interactive
> > Python interpreter that comes with Sage. However to use the IPython
> > parallel features you need to install some additional pa
On Sun, Mar 7, 2010 at 5:06 PM, Gokhan Sever wrote:
> Parallel Python is a separate module. IPython is the interactive
> Python interpreter that comes with Sage. However to use the IPython
> parallel features you need to install some additional packages. I am
> not sure if you could get it work fr
On Mar 7, 3:14 pm, calcp...@aol.com wrote:
> pool sounds interesting!
>
> ipython is separate from parallel python?
>
> What about the @parallel decorator, is that parallel python?
>
> Its confusing in SAGE sometimes what needs importing and what doesn't.
>
> TIA,
> A. Jorge Garciahttp://calcpage
pool sounds interesting!
ipython is separate from parallel python?
What about the @parallel decorator, is that parallel python?
Its confusing in SAGE sometimes what needs importing and what doesn't.
TIA,
A. Jorge Garcia
http://calcpage.tripod.com
Teacher & Professor
Applied Mathematics, Physic
On Mar 7, 12:20 pm, jpc wrote:
> I've tried with
>
> print pool.map(f, range(10))
>
> instead of
>
> pool.map(f, range(10))
>
> calling python file.py
>
> In the notebook, the output must be caughted and printed for user, I
> think.
>
> Pedro
I was trying with pool.map(f, range(10)); #
On Mar 7, 10:13 am, calcp...@aol.com wrote:
> from multiprocessing import Pool
> ...
> pool = Pool(processes=2) # start 2 worker processes
> <<
>
> Wow, cool, is this part of parallel python? Does this only work on a
> multi-core PC or can this be made to work over a cluster as well
I've tried with
print pool.map(f, range(10))
instead of
pool.map(f, range(10))
calling python file.py
In the notebook, the output must be caughted and printed for user, I
think.
Pedro
On Mar 7, 5:23 am, Gokhan Sever wrote:
> Hello,
>
> I am executing this example in Sage Notebook
On 03/06/2010 09:36 PM, Gokhan Sever wrote:
> On Mar 6, 11:23 pm, Gokhan Sever wrote:
>> When I run the code in shell using "python file.py" I don't get any
>> results from function mapping printed out however in Sage-Notebook I
>> see a huge output with WARNING: Output truncated!
>>
>> Any ideas
On Mar 6, 11:23 pm, Gokhan Sever wrote:
> Hello,
>
> I am executing this example in Sage Notebook v4.3.3
>
> from timeit import default_timer as clock
> from multiprocessing import Pool
>
> def f(x):
> return x**3 + x**2 + x
>
> if __name__ == '__main__':
> t1 = clock()
> pool = Pool
11 matches
Mail list logo
