> > Sorry, I live in relations of my 2 cores laptop :-) but still overall > > speedup for 8 cores is 5.5x (page 66 of Vaclav's thesis), so this, > > depending on engine, is not "of no use" yet, at least from my point of > > view.. but yes, parallel 4+4 at the same time would be better than 8 and > > then 8.. > The reported speedup is what was measured on a cluster with a simulation > of 10k particles. It might vary quite a lot depending on the actual > simulation, and I suppose also depending on what constitutive law one > uses: those that access scene->bodies are very likely to suffer when run > in parallel. > > Perhaps it is because I have very little experience, but estimating > speedup of parallel code is crystal gazing for me.
I was just testing examples/concrete/uniax.py (for unrelated reasons) and found the following iter/sec (approx) for 1, 2, 3, 4 threads respectively: 220, 445, 600, 590. For sure what plays dominant role is how much time is spent solving one interactions, therefore complicated contact laws scale better than CundallStrack. _______________________________________________ Mailing list: https://launchpad.net/~yade-dev Post to : [email protected] Unsubscribe : https://launchpad.net/~yade-dev More help : https://help.launchpad.net/ListHelp
