# Make graph generation parallel?

Hi All,

I understand that sage has a 'built-in' ability to make functions run in parallel, which is awesome. However the program I'm running is not being bogged down by my own functions, but rather some of the built in sage functions. Specifically, I'm using the built in generic graph generator to create large graphs for testing. This is inherently slow (massive combinatorics), however, I've got 6 cpu cores that are just sitting idle.

I realize I could "dummy" parallel by running a few instances for different graph sizes, but it seemed to me that the graph generator methods, which simply return the list of things for me to test on _should_ be able to be made parallel inherently. I don't care if the graphs are ordered (since I can always sort ones I keep later)

I was having a hard time actually finding WHERE in the sage source codes the BASIC generator/constructor was (I found the documentation, and sort of found code/documentation for some of the specific types of graphs).

To be clear, I'm running the line: sage: g=list(graphs(12) )

And I want "graphs(12)" to run in parallel. I am using some of the other arguments to reduce what I need to generate.

@Pelonza , Ive been trying to figure out what gets called exactly when you enter say

`graphs(6)`

, but the only reference to that notation ive found so far is in`/sage/src/sage/graphs/graph.py`

on line 338. But between that and the parallel computing manual: http://www.sagemath.org/pdf/en/reference/parallel/parallel.pdf , it doesnt seem to me at least that`graphs(12)`

is something you can make parallel, without modifying some of the graphing algorithms. But being able to parallelize such an operation if its currently not possible, would be a good ticket idea as suggested.@Paul I'll see about submitting a ticket on it. It probably is something parallelizable, or, as the answer below states, it might be something that by working on the generator actually is "parallelized" right now.