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Editorial Team
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Editorial Team
Asked: June 13, 20262026-06-13T16:32:25+00:00 2026-06-13T16:32:25+00:00

I am generating long double float data in a C program on a Linux

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I am generating long double float data in a C program on a Linux cluster. I need to export the data to Matlab, which is not installed on the cluster.

What is the best way? My advisor says to export using printf statements. I assume he means sending the data to a comma separated file (and fprintf). But it seems to me like that could be slow and use too much memory and we may lose a lot of precision.

I’ve found this web page for reading and writing .MAT files, but I don’t really understand the page, or the example, which I copied to my cluster, but cannot compile (because it’s missing libraries which, obviously, come from MATLAB.

What is the best, or easiest, or fastest way to export data from Linux/C to Windows/MATLAB? How do I get started with that method? Be advised when you answer that I am pretty new to C and will likely need help figuring out how to obtain, install, configure, and link any libraries. But once that’s done, I think I’m pretty good at learning to use them.

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  1. Editorial Team
    Editorial Team
    2026-06-13T16:32:27+00:00Added an answer on June 13, 2026 at 4:32 pm

    Why do you think you would you lose precision? The only drawback with CSVs is that ASCII files require much more storage than binary files, but in this day and age where you get terabytes of storage for the price of a good haircut, that hardly seems like a problem.

    It will only be noticeably slower if you’re writing gigabytes upon gigabytes, but normally calculations take so much longer that the difference between ASCII and binary is completely negligible (and if the calculations don’t take so long: why do you need a cluster then?)

    In any case, I’d go for ASCII — how to write and read some binary blob needs to be documented in two places, it’s easier to create bugs in both the writing end and the reading end, it’s harder to solve them since no human can read the file, etc. Also, MAT file formats may change in the next Matlab release (as they have in the past).

    With ASCII, you have none of these problems, the only drawback I can think of is that you have to write a small cluster-specific file reader in Matlab (which is still a lot less work than working out all the bugs and maintaining a MAT file writer).

    Anyway, there’s tons of tools available in Matlab for ASCII: textread, dlmread, importdata, to name a few. On the C-end, indeed just use fprintf (documentation here).

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