Dear Gary, It's finally finished! After almost 2 years, I have finally made the multi_processor_merge branch 100% functional again!! Your brilliant multi-processor framework appears to be working at full capacity with all the advances of the relax 1.3 line. The parallelised diffusion tensor grid search is activated again, though I have made a completely new implementation which relies on a few new types of non-linear grid searches added to the minfx project (https://gna.org/projects/minfx/). You can use minfx without installing it in relax by checking out a directory of the main line 'trunk' in the base relax directory: svn co http://svn.gna.org/svn/minfx/trunk/minfx I have made many code changes, code clean ups, and fixed many bugs. There has been a lot of work with STDOUT and STDERR: interleaving is now mostly correct, and I have tamed the loss of control of STDOUT and STDERR problem - hence the test suite in the uni-processor fabric is now functional. The only issue I could not fix was the STDOUT and STDERR prefixing in mpi4py mode, but this is one we have discussed before that has no solution. Uni-processor mode is seamless and you cannot even tell that is it passing through the multi-processor framework - an essential requirement for merging this back. As I have dual-core machines and openmpi installed, I have tested the mpi4py fabric with: mpirun -np 6 ./relax --multi mpi4py test_suite/system_tests/scripts/omp_model_free.py and this completes perfectly. I was wondering if you could quickly test this again on your massive beowolf cluster? It would be good to see if I haven't broken anything and that the scaling as shown in https://mail.gna.org/public/relax-devel/2007-04/msg00048.html is still there. I would also like to terminate this branch - i.e. finally merge this beast into the 1.3 line. For this, I would like to discuss with you - in private might be best - how you wish to publish this and how this should be synchronised with a new relax release introducing the multi-processor framework. If you don't have any system you applied this to for a model-free analysis, I think this would by itself make a nice little communication, just announcing to the world its existence. Or a few published data sets could be very quickly reanalysed. I'm looking forward to hearing from you. Cheers, Edward