Consulting Services for OpenMx + Cloud Computing

Cloud computation is an inexpensive way to optimize large numbers of OpenMx models using parallel processing. As a proof-of-concept, we reproduced the analyses described in Schmitt et al. 2014. This involved running 4 OpenMx models at each of 40962 voxels. This compute job was completed in about 4 hours using 1024 CPU cores managed by Google Cloud Platform for about $200.

The OpenMx team offers assistance in running similar large jobs in exchange for co-authorship. If you have a project in mind, please get in touch with XXX.

Schmitt, J. E., Neale, M. C., Fassassi, B., Perez, J., Lenroot, R. K., Wells, E. M., & Giedd, J. N. (2014). The dynamic role of genetics on cortical patterning during childhood and adolescence. Proceedings of the National Academy of Sciences, 111(18), 6774-6779.