Problem with GPU and Matlab version
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Hi,
The cluster we have has 4 Tesla V100 GPUS, but the Matlab version available on it is 2014b. From the link below, I can tell that they are not compatible.
Is there a way to resolve the compatibility issue between the available GPU and Matlab version? My goal is to use the GPU to solve a linear system of equations using the PCG Matlab function.
Abueidda
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Christabel Ajaero
2020-4-19
编辑:Christabel Ajaero
2020-4-19
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Hello,
Palese, i am having a problem training my network on my computer.....this is the error message i get when it gets to the trainNetwork line
......."Warning: while copying objects of class
'gpuArray':
'Out of memory on device. To view morw details about available memory on the GPU, use 'gpuDevice'. If the problem persists, reset the GPU by dailing 'gpuDevice(1)' "............
and my computer has GeForece MX250 under the Pascal Micro-architechure with 6.1 computing capability according to
pls help ....i have the done instruction from the error, still not working. Im using MAtlab version R2020a
Christabel.
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Walter Roberson
2020-4-19
MX250 has a maximum of 4 gigabytes of memory. If you are using Windows then the operating system will reserve up to 1 gigabytes.
The message is telling you that the array you are trying to copy in is too large to fit. If it did fit you would still have problems because operations on the array would typically need another array the same size.
If you are training a rccn then reduce your minibatch size.
Christabel Ajaero
2020-4-19
编辑:Christabel Ajaero
2020-4-19
Hi,
Thank you for your answer.
i tried to reduce the minibatch size from the default 128 to 50, still the error persisted. what minibatch size do you suggest pls? i am traning a cnn but would still train rcnn later
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