MATLAB: About running matlab in linux.

killed

Hello, I run the same program in Windows it shows Out of memory. Type HELP MEMORY for your options. Then I run it in Linux, it runs for a while and then shows killed.

does it mean it is out of memory or something else? How to resolve it? Thanks.

Best Answer

If you run some code on Windows and get an "Out of memory" error and then run the same code on Linux (on the same hardware) and Matlab just crashes, then yes, it might mean that you are out of memory in Linux too. Can you provide more details? What does your code do?

If you are in fact running out of memory, then the most obvious solution is to get more memory (if you can). Beyond that, you will have to re-write your code to work under your memory constraints. For instance, if you have big data matrices just sitting around doing nothing, then clear them away to make room for things you will use. If you make use of a lot of intermediate variables, try overwriting only a few variables instead.

Related Solutions

MATLAB: How could MATLAB store large scale of data.

If you are able to use 8 bits per value, you could use

ones(3^N1, 3^N2, 10^3, 'uint8')  %or 'int8' as appropriate.

That would occupy 4.45 gigabytes, which would be too much for any 32 bit version of MATLAB (32 bits is 4 gigabytes of address space.) It would, however, be feasible with a 64 bit MATLAB with as little as 8 gigabytes of RAM.

If you need to use double precision, then that occupies 8 bytes per location, and so requires 35.64 gigabytes for the array. You would need a 64 bit MATLAB for sure, and you would need probably 40 or so gigabytes of RAM. If that much RAM is not feasible for you, then using a double precision array of that size is not feasible for you.

This is not a matter of how MATLAB uses its memory: this is just a matter of having enough memory to store the array at all.

Note: your options are different if the array is reasonably sparse.

MATLAB: Out of memory error with 8GB and 64bit

Hi,

considering the mentioned size of a matrix, the matrix would occupy ~20GB or ~10GB in the case of single precision. With the 16GB available memory you are asking the impossible.

 >> M = zeros(50000,50000);
 >> whos
  Name          Size                     Bytes  Class     Attributes
   M         50000x50000            20000000000  double

To the point what you cando, take a good look at your script and see if the problem can be broken down into smaller pieces (not processing all the data at once).

If the matrix is sparsely populated, you could have a look into sparse matrices.

Best Answer

Related Solutions

MATLAB: How could MATLAB store large scale of data.

MATLAB: Out of memory error with 8GB and 64bit

Related Question