Your best bet is to use Matlab's parallel processing toolbox and a
parfor loop. That way you can have Matlab preprocess several subjects at
once, in your case maximum 8, because of 8 cores. Mind you, it won't be
8 times faster, but still much faster than preprocessing subjects in
sequence.
Regards,
Glad
On 02.06.2015 23:33, Magri, Caterina wrote:
> For my laptop, the data resides on the internal drive, while I have data in an external hard disk for the Mac Pro, but I can move them around if that works better. They are DICOM data. With preprocessing I want to Import DICOM files to 3-D NiftI and perform slice timing correction, spatial realignment, coregistration, segmentation, normalization and smoothing as fast as possible.
>
>> On Jun 2, 2015, at 5:23 PM, Robert Welsh <[log in to unmask]> wrote:
>>
>> If you can supply detailed information to the specifics of your input data and what you are wishing to achieve with the preprocessing then people on the listserv can perhaps help.
>>
>> Also, information about where the data reside with respect to the cpu. On same machine, using a NAS?
>>
>> RCW
>> ------------------------------
>> typos due to iPhone 4S
>>
>>
>>> On Jun 2, 2015, at 17:16, Caterina Magri <[log in to unmask]> wrote:
>>>
>>> Could anyone give me some suggestions on how to make processing go fast on Mac Pro and MacBook Pro? I'm using MATLAB 2015a and SPM12. I have a 2.3 GHz Intel Core i7 in the laptop, and a 3GHz 8-Core Intel Xeron E5 in the Mac Pro, both late 2013.
>>> Thanks!
>>> Cat
--
P. Glad MIHAI, M.Sc. Biomedical Physics
Functional Imaging | University Clinic Greifswald
Walther-Rathenau-Straße 46 | 17475 Greifswald | Germany
Tel: +49 3834 86 69 44 | Fax: +49 3834 86 68 98
www.baltic-imaging-center.de
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