He Andrew,
I used @parallel in sage to parallelize some tensorial calculus (for
example : src/sage/tensor/modules/comp.py)
It is not very complicate to use it but sometimes you need to reorganize
your computation.
The parallelism depends strictly on your code so the part of code you
posted is n
Thanks Vincent for both your answers. I am planning on using just one
machine with up to 24 cores. (If I am not able to get far enough this way
then I will think about using the cluster. Using 24 cores will already be a
big step up compared with what I am currently doing.)
If the processes can
On 10/05/16 23:32, Andrew wrote:
On Wednesday, 11 May 2016 14:00:20 UTC+10, William wrote:
It depends on what you are trying to do. For some computations,
@parallel is the best possible way to do them, and for others it is
the worst possible way.
Is there a good to learn about how best to do
Hi Andrew,
If you use *one* machine with many cores then have a look at the
standard Python module multiprocessing
https://docs.python.org/2/library/multiprocessing.html
This is what parallel does use. And it is not hard to get it works.
If you have access to a cluster with several nodes, th
On Wednesday, 11 May 2016 14:00:20 UTC+10, William wrote:
>
>
> It depends on what you are trying to do. For some computations,
> @parallel is the best possible way to do them, and for others it is
> the worst possible way.
>
> Is there a good to learn about how best to do this (in sage/python/
On Tue, May 10, 2016 at 7:39 PM, Andrew wrote:
> I have access to a centos machine with many cores, so I want to start
> writing parallelised code on it. This is probably naive, but is using the
> code in sage.parallel the best way to write parallel code in sage?
It depends on what you are trying
I have access to a centos machine with many cores, so I want to start
writing parallelised code on it. This is probably naive, but *is using the
code in sage.parallel the best way to write parallel code in sage*?
I started using the @parallel decorator but then I found the optional
packages op
