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Joss Knight

MathWorks

Last seen: 4 days ago Active since 2013

Although I cannot be contacted directly, if you would like to ask me a question all you have to do is mention "GPU" somewhere in your MATLAB Answers question.

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Answered
How to increase MiniBatchSize
It depends on what you're doing. Some ideas: * Get a new GPU with more memory * Use a smaller model * If your model accepts...

5 days ago | 0

Answered
Matlab trainNetwork CNN training pauses iterating intermittently at random then continues
Is the pause associated with a validation measurement being added to the training plot? With 7 times as much validation data it ...

5 days ago | 0

Answered
problems with @arrayfun on GPU
This is a bug. I have reported it. Thanks for finding it! In the meantime, you can work around the issue by using a local funct...

8 days ago | 0

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Answered
A problem when using "multi-gpu" as "ExecutionEnvironment" for training a CNN
Most likely this is this issue, which is fixed in the latest update to R2022a. You can also try downgrading your GPU drivers.

9 days ago | 0

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Answered
Perform mldivide between 3x3 matrix M and every RGB pixel in a image in GPU
I feel like I'm missing something - this is just a single backslash with multiple right-hand sides, or to avoid permutation a si...

1 month ago | 1

Answered
Library not loaded: @rpath/libcudart.10.2.dylib
This problem should now be fixed at Apple, please reboot and report here if you are still experiencing issues.

1 month ago | 0

Answered
Warning: GPU is low on memory
A 3-D U-net is a very large model. Try reducing |patchSize|, |patchPerImage|, |miniBatchSize| and |inputSize|.

2 months ago | 0

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Answered
How to run lane detection optimized with GPU coder project on matlab
https://www.mathworks.com/help/gpucoder/ug/lane-detection-optimized-with-gpu-coder.html

2 months ago | 0

Answered
Dedicated GPU Memory Usage - Permanently increases every time code is run
This error means you ran out of GPU memory. I can't reproduce any sort of memory leak in R2022a. It's possible that you are perm...

2 months ago | 1

Answered
minibatchqueue function cannot generate the expected MiniBatchSize
You've asked your arrayDatastore to iterate over the rows because that's the default. So as far as arrayDatastore is concerned, ...

3 months ago | 1

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Answered
RTX 3090 vs A100 in deep learning.
According to the spec as documented on Wikipedia, the RTX 3090 has about 2x the maximum speed at single precision than the A100,...

3 months ago | 0

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Answered
GPUCoder does not generate parallelized code
This looks about right to me, because your kernel is too simple and you're transferring data from and to the CPU on every call. ...

4 months ago | 1

Answered
Can I run custom Matlab function or gpuArray on another GPU?
You can use parallel syntax to process other arrays on other GPUs at the same time, or to process some data on the CPU at the sa...

4 months ago | 0

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Answered
How can run and upload my Deep Learning model in cloud?
<https://uk.mathworks.com/help/deeplearning/ug/deep-learning-in-the-cloud.html Start here>

4 months ago | 0

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Answered
Error in minibatchqueue (line 290) numVariables = numel(getPreviewFromDatastore(originalDatastore));
Make sure the accompanying file augmentDataForLD2HDCT.m that comes with this example is on the path when you run your code.

4 months ago | 0

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Answered
Reorganizing current data structure in order to take advantage of GPU
Evidently with your nested structure you are not required to have uniform data - every element at each level can have a differen...

4 months ago | 1

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Answered
Saving images quickly for huge datasets
It's hard to say what will speed things up, since we don't know which part of the process is slow. Is saving slow? Is computing ...

4 months ago | 1

Answered
Help me for this CUDA Error
I see two calls to predict which don't specify ExecutionEnvironment and therefore will be trying to use your college computer's ...

4 months ago | 0

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Answered
REINFORCE algorithm- unable to compute gradients on latest toolbox version
What is underlyingType(observationBatch) underlyingType(lossData) ?

4 months ago | 1

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Answered
Retraining Alexnet - works on windows 7 not on windows 10?
The difference here is not your OS but your GPU. You have a newer GPU on your Windows 10 machine. Probably it is an Ampere GPU w...

5 months ago | 1

Answered
How to use GPU only on the nodes that have it
|canUseGPU| is the favoured way to guard your code.

5 months ago | 0

Answered
Why do I receive the error "CUDA_ERROR_ILLEGAL_ADDRESS" despite of successfully compiling the cuda mex function.
I suspect your kernel is writing into out-of-bounds memory. The next time the device synchronizes the error will be reported, wh...

5 months ago | 0

Answered
Not using GPU for trainNetwork?
Nearly always in cases like this you just need to install your GPU drivers from NVIDIA: https://www.nvidia.co.uk/Download/driver...

5 months ago | 0

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Answered
Develop WGAN-GP for 3-D image
You definitely need to use EnableHigherOrderDerivatives here because you are including computed gradients in the loss term. With...

5 months ago | 0

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Answered
How can I validate CNN after training?
The easiest way to validate after training for classification is to do exactly what you do in your example code to check the acc...

5 months ago | 0

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Answered
(Windows 10) Limiting GPU access: What is the default file location of the functional MATLAB application?
Deselecting the device for use for computation doesn't stop MATLAB using it for graphics. The actual exe you're looking for is ...

5 months ago | 0

Answered
Tutorial / classes / training for developing asynchronous CUDA and MEX code?
Make all the variables involved gpuArray objects and those lines of code will run as asynchronously as the GPU allows. This mean...

5 months ago | 0

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Answered
Error with averagePooling1dLayer (pooling dimension lower than pooling size)
The time dimension is variable so just because you happen to be passing a long sequence into the network doesn't mean you're not...

5 months ago | 0

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Answered
pixelLabelImageDatastore not partitionable despite underlying imageDatastore and pixelLabelDatastore are
For parallel training of a semantic segmentation network, you're supposed to use combine to join the two input datastores rather...

6 months ago | 0

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