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MATLAB Requirements for Neural Network on GPU
Yes.

mehr als 8 Jahre vor | 0

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Complex numbers in ifft(fft(x))
I'm not sure but I assume it's because the GPU FFT computation is non-deterministic. The order of operations is not preserved be...

mehr als 8 Jahre vor | 1

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GPU Out of memory on device.
Reduce the |'MiniBatchSize'| option to |classify|.

mehr als 8 Jahre vor | 5

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Does matlab support parallelized loops on GPU
Scrap |A = repmat(A,N,1)| and instead repeat along dim 3. Then use |pagefun|. A = repmat(A,1,1,N); inv_A = pagefun(@mldi...

mehr als 8 Jahre vor | 1

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How to solve following CUDA error "matconvnet"?
Unknown CUDA errors like this are nearly always due to a kernel timeout. If you have a graphics card that is driving your displa...

mehr als 8 Jahre vor | 0

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When using multiple GPU's get out of memory error at less than max single GPU memory x number GPUS
Make sure your default parallel pool only opens one worker per GPU, otherwise many workers will all try to share the same GPU, h...

mehr als 8 Jahre vor | 0

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Coding a deep learning network
There is no current CPU support for codegen for deep networks. You could use MATLAB Compiler instead, which can generate DLLs.

mehr als 8 Jahre vor | 0

mehr als 8 Jahre vor | 0

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How to run "Train a Convolutional Neural Network for Regression" example in single precision on laptop with NVIDIA GPU?
Laptop GPUs are severely limited in power and performance and are often no better for compute than the CPU, even in single preci...

mehr als 8 Jahre vor | 0

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What's the name of the fully connected layers in googlenet?
net = googlenet; lg = getLayerGraph(net); for i = 1:numel(lg.Layers) name = sprintf('%s_%d', class(lg.Layers{i}),...

mehr als 8 Jahre vor | 1

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Select a group gpu's that are discontinuous in gpuDevice
There are two ways: The best way is to set environment variable CUDA_VISIBLE_DEVICES to 0,2,3 before you start MATLAB, or as ...

mehr als 8 Jahre vor | 0

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Titan V using huge amount of memory
To avoid this cost, do not use the same GPU on multiple workers. Although the GPU is a data parallel system, it is not task para...

mehr als 8 Jahre vor | 1

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Out of memory error in matlab
Clearly you can't store the activations for your entire dataset in memory. fc7 of AlexNet has 4096 single precision outputs. Tha...

mehr als 8 Jahre vor | 0

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Titan V using huge amount of memory
The CUDA runtime in the latest drivers appears to be allocating a huge amount of main memory when it is initialized on a Volta c...

mehr als 8 Jahre vor | 0

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Matlab limits GPU utilization?
I'm not sure I understand why it was recommended to you to move to Windows - can you explain? The way the Task Manager define...

mehr als 8 Jahre vor | 0

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GTX1060 for deep learning semantic image segmentation
Yes, 3GB isn't enough for this example, sorry. SegNet is just too high resolution a network. You could try training on the CPU. ...

mehr als 8 Jahre vor | 0

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How to apply a function to each column of a 3D array?
There isn't anything supported for |gpuArray| that can take any generic user function in this way. If |test_f| contains operatio...

mehr als 8 Jahre vor | 0

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griddedInterpolant not a built-In Functions on a GPU
I'm not sure what you're asking, but if you're asking "am I right that I have to rewrite my code?" then yes, you are right.

mehr als 8 Jahre vor | 0

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Why is Titan V training performance so poor?
I am posting here the same information with which I responded to your tech support request. Perhaps others will find this useful...

fast 9 Jahre vor | 1

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Using Arrays inside arrayfun()
You can't do any array or matrix operations in a GPU |arrayfun| kernel. You can access the contents of an array that is present ...

fast 9 Jahre vor | 0

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Debugging CUDA in Matlab without having to restart
If you crash your card, you often need to reload the driver, in much the same way that if a program segfaults, it has to be rest...

fast 9 Jahre vor | 0

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Qt GUI wrapper for matlab based dlls to run on GPU
MATLAB Compiler will work correctly for |gpuArray| code. You don't need to write your own CUDA kernels, you just write MATLAB co...

fast 9 Jahre vor | 0

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GPU memory usage using Matlab deep learning
While you are training a network it needs a lot of working memory. The deeper the network, the more memory it needs. Which netwo...

fast 9 Jahre vor | 0

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What happen to the CUDA cache mem?
The result is stored as the variable |ans|, which means you have less memory the second time round.

fast 9 Jahre vor | 1

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GPU problem with Matlab 2017b
To use a Fermi card with R2017b you will first need to install Update 2. Follow the link in this bug report: <https://www.mathwo...

fast 9 Jahre vor | 1

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How are gpuArrays handled inside parfor?
Yes, they can all use the same GPU. By default, anything you run on the same GPU from different processes will run in serial. Ho...

fast 9 Jahre vor | 1

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why i receive the following error?
In <http://www.vlfeat.org/matconvnet/install/ MatConvNet's own installation documentation>, which I found by typing "MatConvNet ...

fast 9 Jahre vor | 1

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Choose a graphic card to train SegNet for deep learning
The GeForce 10 series will all work fine, they just have different capabilities and constraints. On a cheaper GPU you may need t...

fast 9 Jahre vor | 1

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Geforce 1080ti vs Quadro P4000 for neural networks and deep learning
On the face of it the GTX 1080Ti is an all-round better performing card than the Quadro P4000 for deep learning applications, wi...

fast 9 Jahre vor | 3

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Issue CUDA_ERROR_LAUNCH_FAILED and reset(gpuDevice) doesn't work
In the last few days MATLAB R2017b was updated with a bug fix for the Volta architecture. This requires all users of Deep Networ...

fast 9 Jahre vor | 0