OpenMx 1.2 features user transparent parallelized ordinal full information maximum likelihood meaning that it should significantly improve the efficiency of full information maximum likelihood calculations for most models. Some extremely significant speedups on our test suite can be seen here.
If you are attempting to take advantage of the parallelization please let us know by commenting on this post and telling us about it. We'd love to hear about your speedup results and if you aren't seeing any speedup we want to know, so we can figure out why.
Note: Please remember in our development cycle a beta-release indicates that each new feature has been tested with some type of validation script in our test repository. However we always recommend verifying the output against the latest stable version of OpenMx before rushing to publication.