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How do I take poisson draws with poissrnd() using GPU resources via arrayfun?
As you can see from the documentation, poissrnd is not a function that is support by the FUN argument of gpuArray/arrayfun. You ...

fast 6 Jahre vor | 0

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Same gpu operation in loop but two speeds
MATLAB will do some optimisations when it sees you are doing the same thing repeatedly. In your case, the optimisation that appl...

etwa 6 Jahre vor | 0

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Parallrl calculations for Deep learning Toolbox
Sorry about this not-very-good error, which should be fixed in the current release. What it means is that 'Shuffle', 'never' is ...

etwa 6 Jahre vor | 1

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Error using parpool (line 113)
This is a very unusual error and indicates a problem with your installation. I suspect your MATLAB path is mixed up with previou...

etwa 6 Jahre vor | 2

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CPU/GPU Architecture Recommendation
For Deep Learning the RTX 2080 is a good choice.

etwa 6 Jahre vor | 0

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Using external GPU with MatLab 2020a
There may be nothing you can do. Data transfer times to an external GPU are much higher. It might help to increase the MiniBatch...

etwa 6 Jahre vor | 0

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Arrayfun GPU in "Game of Life" works slower than CPU
Check out this Answer. The arrayfun version is rather dependent on good memory performance since the kernel is accessing global ...

etwa 6 Jahre vor | 0

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Deep Learning - Distributed GPU Memory
No, there is nothing like what you are after, to distribute the weights of a fully connected layer across multiple GPUs. You cou...

etwa 6 Jahre vor | 0

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Multiple GPUs perform slower than single GPU to train a semantic segmentation network
On Windows, due to GPU communication issues on that platform, it is difficult to get any benefit from multi-GPU training. This w...

etwa 6 Jahre vor | 0

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The utilization of GPU is low in deep learning
Try following some of the advice in the following MATLAB Answer: https://uk.mathworks.com/matlabcentral/answers/463367-gpu-utili...

etwa 6 Jahre vor | 0

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Assigning gpuArrays to different graphics cards
There is no way to do what you ask. Selecting a GPU is the only way to move data there, and selecting a GPU resets all GPU data....

etwa 6 Jahre vor | 0

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GPU out of memory
In your example code you are using the default mini-batch size of 128. Reduce the MiniBatchSize training option until you stop g...

mehr als 6 Jahre vor | 2

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incorrect memory copy when using property size validator
I was able to reproduce this in R2018b but not in R2019a or R2019b. It looks like property validators used to trigger a deep cop...

mehr als 6 Jahre vor | 0

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Solution of large sparse matrix systems using GPU MLDIVIDE
The general advice is that Sparse MLDIVIDE may be convenient, but it is 'usually' slower than use of an iterative solver with an...

mehr als 6 Jahre vor | 0

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Deep Learning: Training Network with "parallel" option using only CPUs
Even with a weak graphics card you will usually see better performance than on multiple CPUs. However, to try it out, after you ...

mehr als 6 Jahre vor | 0

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How to use Levenberg-Marquardt backprop with GPU?
This isn't supported out of the box yet. You could convert your network to use dlarray and train it with a custom training loop....

mehr als 6 Jahre vor | 1

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hardware requierments for MATLAB
Partial answer GPU Computing. You can't have a MATLAB without CPU Computing so obviously both is better. No Mostly using the ...

mehr als 6 Jahre vor | 1

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Which Visual Studio 2019 package should I install to work with CUDA?
To accelerate your MATLAB code with an NVIDIA GPU, you do not need to install a C++ Compiler.

mehr als 6 Jahre vor | 0

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Why would the file size of a deep learning gradient become much bigger after saving as a .mat file?
The difference is that whos is unable to account for the fact that the data is all stored on the GPU, and is only showing CPU me...

mehr als 6 Jahre vor | 0

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Training a Variational Autoencoder (VAE) on sine waves
It looks like your input data size is wrong. Your formatting says that the 4th dimension is the batch dimension, but actually it...

mehr als 6 Jahre vor | 0

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Is lhsdesign (latin hypercube sampling) supported by gpuArray?
It is not supported. You can tell whether or not a function supports gpuArray, more reliably than from the list of gpuArray meth...

mehr als 6 Jahre vor | 1

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DOES GEFORCE GTX1080 GPU WORKS WELL FOR DEEP LEARNING TRAINING??
Yes.

mehr als 6 Jahre vor | 1

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Feed data into Neural Networks file-by-file
Datastores are designed for precisely this purpose. It may be that you're after an imageDatastore processed by a transform.

mehr als 6 Jahre vor | 0

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Gather cell array from GPU to CPU
A_cpu = cellfun(@gather, A_gpu, 'UniformOutput', false);

mehr als 6 Jahre vor | 2

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Error in matlab included deep learning example
There is a bug in this Example which will be rectified. Thanks for reporting. To workaround, initialize the loss variable in the...

mehr als 6 Jahre vor | 2

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movsum slower than conv2 in GPU
One might theorize, perhaps, that movsum literally uses the same kernels as conv2, but first has to construct the filter of ones...

mehr als 6 Jahre vor | 2

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Does MATLAB require dedicated graphic card
If you want hardware-rendered plots and 3-D visualizations, you need a GPU of some kind. Without it, these things will be a bit ...

mehr als 6 Jahre vor | 0

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Deep learning with a GPU that supports fp16
You can take advantage of FP16 when generating code for prediction on a deep neural network. Follow the pattern of the Deep Lear...

mehr als 6 Jahre vor | 1

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Select a GPU to be used by a function running in parallel(parfeval)
I'd have to know what kind of postprocessing you're doing - please post some code. On the face of it, the answer is simply to us...

fast 7 Jahre vor | 0

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'radix_sort: failed to get memory buffer' when executing accumarray on gpuArrays of certain size
There is an issue in an NVIDIA library that is not functioning correctly when memory is limited. This is fixed in CUDA 10 / MATL...

fast 7 Jahre vor | 0