I am putting the following exchange where it is better suited on the hcp-users 
list, rather than caret-users where it started.
David

Begin forwarded message:

> From: Timothy Coalson <[email protected]>
> Subject: Re: [caret-users] cifti math mem
> Date: October 5, 2013 5:06:54 PM CDT
> To: "Caret, SureFit, and SuMS software users" <[email protected]>
> Reply-To: "Caret, SureFit, and SuMS software users" 
> <[email protected]>
> 
> It should compute it one row at a time, so as long as you have enough rows 
> that it divides the total cifti file into a managable row size, you should be 
> fine.  You can always try it on your local machine, and see if it starts 
> allocating swap (cifti-math, along with the other math commands, aren't 
> parallel anyway, it should usually be IO bound since the amount of processing 
> to do is exactly proportional to the size of the data files, so unless you 
> are running multiple commands in parallel, it probably doesn't need to be on 
> a cluster).  In general, I try to write cifti commands so that they 
> compute/write cifti files one row at a time during computation, so they don't 
> use as much memory.  Correlation is a notable exception, since the output is 
> symmetric, retaining some/all of the results in memory allows it to finish 
> faster.
> 
> Note, however, that metric/volume inputs/outputs always use the memory of the 
> uncompressed data (we don't do on-disk reading/writing for them), and most 
> cifti commands that do spatial things like smoothing or gradient separate the 
> cifti into in-memory metric/volume files one at a time, which may take a fair 
> amount of memory.
> 
> I hadn't thought of making a "count nonzero" reduce operation, but it is 
> rather easy to add more reduce operations.
> 
> Tim
> 
> 
> 
> On Sat, Oct 5, 2013 at 11:07 AM, Colin Reveley <[email protected]> wrote:
> Hi - 
> 
> I'm wondering (before I try and damage remote equipment)
> 
> when running wb_command -cifti-math
> 
> is it necessary that the cifti(s) fit into RAM memory? 
> 
> what I want to do is take a very large dconn.nii file, and binarize it such 
> that all non-zero entries are 1 and all 0 entries stay 0.
> 
> this is, obviously, an intermediate step to something else (tracking stats 
> from vertex seeds).
> 
> In an ideal world I'd also like to divide the value in each cell by another 
> cifti of the same dimensions.
> 
> if -cifti-math is able to avoid RAM (like cifti-reduce) then great. If not I 
> need another way or I risk disrupting the university cluster.
> 
> the basic task is to replace all non-zero entries with 1 without requiring 
> more than say 1/10 of the file size in RAM. 
> 
> if that is not possible then, if we call the binarised cifti above "A" then 
> the output of -cifti-reduce A.dconn.nii SUM 
> 
> obtained by any means would be great and a big help
> 
> obviously there is more detail to the problem/questions that might help. But 
> I'm trying not to explicitly be "unsupported" at this point in case the 
> question can be answered in a "supported" way.
> 
> best,
> 
> Colin
> 
> 
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