# Is there any easy way to parallel gröbnerbasis computations in sage?

Hi, I have a problem I am currently working on where I wish to eliminate variables from a system of polynomials. I have managed to do it in several cases, but for large systems to check my hypothesis the memory usage becomes very large, and the computations take a long time. Therefore I wondered if there is any easy way to optimalize the gröbner basis computation in sage. I am currently using the .elimination_ideal([]) environment, but it turns out to be very ineffective in the examples I am computing. I figured out that one of the limitations is that the eliminate function runs on only one core of the computer. So I therefore thought that in order to speed up the computations, then one could parallelize the function. However, it turns out that all current environments on sage including @fork, @parallel and parallelism.set() does not help at all in this case, since the process still runs on only one core.

Any good ideas out there?

Can you provide some explicit examples that other users can play with to investigate your question?