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PSPM v 2.0 is available for download from sourceforge.net: http://prdownloads.sourceforge.net/parallelspm/PSPM-2.0-beta.tar.gz?download What's different: - added fully parallelized statistics estimation - added a -nodisplay option to suppress graphics output - the coregistration option outputs a plot (spm2.ps) just like spm normally does - added windows support, you should be able to compile in Cygwin or MSVC (or whatever your favorite Windows compiler is). Refer to README.windows within the source distribution - fixed a bug in slice timing correction - a few minor user interface changes - better error handling - a few utility files to test the PSPM package So for those keeping a running tally, here's what is currently parallelized: 1. coregistration and reslicing 2. slice timing correction 3. applying normalization parameters to files (NOT estimation) 4. smoothing 5. full stats estimation Once you have installed the package, use the PSPM_test_dir script to compare the output from parallel processing to regular uni-process SPM processing. When you run PSPM_test_dir it will ask you to select two directories. It will then proceed to compare all the image files in the two directories with the same name, and provide a report regarding discrepancies. There is also a PSPM_compare_struct script which will compare (element by element) two structures in MATLAB to see if they are identical. This might also be useful At present, stats estimation produces a slight discrepancy of ~10^-12 per image. This seems due to floating point arithmetic precision issues. I have not had to this effect the results in any way. I'm still looking into this. E-mail me if you have problems compiling, installing, or using the package. Regards, Jejo