Hi, Philipp-

Just a note about your @SSwarper comment (and "-tlrc_NL_warp"---these both refer to performing nonlinear (NL) warping, via two slightly different mechanisms): the nonlinear warping can be a computationally expensive endeavor, yes, *but* the 3dQwarp program that underlies all AFNI NL warping was programmed by Bob to be inherently parallelizable. That is, it can use multiple CPUs/threads on a given computer to work faster. You don't need to do anything to get this performance enhancement (it uses OpenMP under the hood), *except* have a computer with multiple cores/CPUs.

If you run "afni_system_check.py -check_all", you can see how many CPUs are available on your computer near the top; or, to pick out the line that says how many that is specifically, this:

afni_system_check.py -check_all | grep "number of CPUs:"

You can also see how many AFNI is set to be using with this command:

afni_check_omp

You can control how many CPUs AFNI will use (up to the number available on the machine!) by setting an environment variable OMP_NUM_THREADS in your terminal startup files or in your scripts. This (and more!) is described in this AFNI Academy video---
[www.youtube.com]
... which really *was* just meant to be a very short one. I swear.

--pt