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Why does gpuArray() error out?
Make sure you have read this: https://uk.mathworks.com/matlabcentral/answers/442324-can-i-use-matlab-with-an-nvidia-gpu-on-macos...

fast 7 Jahre vor | 1

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GPU recommendation for Deep Learning and AI
The Tesla V100 is a passively cooled device only suitable for servers. Is that available to you? The Quadro card you indicate is...

fast 7 Jahre vor | 0

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.CU Files for MATLAB
Hi Oli. You don't run nvcc in MATLAB, since it isn't a MATLAB feature. You run it at a Windows Command Prompt (or Powershell). U...

fast 7 Jahre vor | 0

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Error using nnet.internal.cnngpu.convolveBiasReluForward2D
If you want to go back to using your CPU, add the 'ExecutionEnvironment' 'cpu' to your call to semanticseg. C = semanticseg(Img...

fast 7 Jahre vor | 0

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Fast 2D distance calculation
pdist2 is the usual way to do this, if you have Statistics and Machine Learning Toolbox.

fast 7 Jahre vor | 0

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Unexpected speed decrease of 2D Fourier Transform on GPU when iFFTed
I modified your code inserting wait(gpuDevice) before each tic and toc and got a much more sensible graph: The GPU runs async...

fast 7 Jahre vor | 0

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How can I accelerate deep learning training using GPU?
Your mini-batch size is far too small. You're not going to get any benefit of GPU over CPU with that little GPU utilisation. Inc...

fast 7 Jahre vor | 2

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GPU utilization is not 100%.
Your question is very hard to answer in it's current form. You want to know why GPU utilisation is not 100%? The answer is, bec...

fast 7 Jahre vor | 2

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Why is arrayfun for GPU slower than normal operations
You are misunderstanding the use of arrayfun for gpuArray. Combine all those operations into a single function. temp00 = arrayf...

fast 7 Jahre vor | 4

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GPU parallel computing error with Quadro RTX 5000
I'm amazed this works at all, frankly, since 2012 is about 5 generations of GPU architecture ago. Anyway, there are known issues...

etwa 7 Jahre vor | 0

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Load of Transfer Learning on GPU
Your problem is this line: imds.ReadFcn = @(loc)imresize(imread(loc),inputSize); You should remove it and instead use an augme...

mehr als 7 Jahre vor | 0

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Can I use parallel computing to train a DNN?
No, you can't use parallel training for a sequence network, sorry.

mehr als 7 Jahre vor | 0

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Beantwortet
Odd error comes during training deep learning model on GPU
Nearly always this error is a kernel timeout. Use Windows regedit and follow the instructions on this page to disable TDR by set...

mehr als 7 Jahre vor | 0

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Creating a convolutional neural network that outputs an image.
You have a DAGNetwork which means you cannot pass a layer index into activations, you have to pass a name: res = activations(ne...

mehr als 7 Jahre vor | 1

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How to control which GPUs and CPUs get which tasks during multiple calls to trainNetwork?
The computation on the GPU is so much faster than on the CPU for a typical Deep Learning example that there are only disadvantag...

mehr als 7 Jahre vor | 0

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Why system need to wait gpudevice complete？
The fundamental problem is that GPU execution is asynchronous so the point where you think all the time is being spent isn't act...

mehr als 7 Jahre vor | 0

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Support for HIP and/or OpenCL GPU acceleration
MathWorks regularly reviews its policies on GPU support. Where there is a market, a robust, stable, performance portable languag...

mehr als 7 Jahre vor | 0

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How to generate mex for openCV's 'imdecode' for CPU and GPU?
You can just download and use OpenCV yourself, and link in whatever libraries you need on the compile line. This blog post gives...

mehr als 7 Jahre vor | 0

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Does MATLAB 2018b Support NVIDIA GeForce 2080 Ti RTX For Creating/Training/Implementing Deep Learning Neural Networks, And, If So, Then Which Version Of CUDA Should I Use?
Yes, you can. Use the following workaround to avoid annoying warnings and errors: warning off parallel:gpu:device:DeviceLibsNee...

mehr als 7 Jahre vor | 0

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Parallel Computing in Neural Networks is not using all the workers in 2018b?
I believe this is the designed behaviour. If multiple workers were to share the same GPU, you would get a performance reduction,...

mehr als 7 Jahre vor | 0

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GPU and CPU code: How to do?
This is exactly why MATLAB's GPU support is so awesome! You should only need to insert your 'shim' for gpu data, as OCDER descri...

mehr als 7 Jahre vor | 2

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Calling CUDA mex functions from functions called via arrayfun
GPU arrayfun supports a restricted set of element-wise operations that it knows how to translate into CUDA device IR. It doesn't...

mehr als 7 Jahre vor | 0

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Declare gpuArray while executing on gpu
GPU arrayfun functions can only do scalar operations. You can declare new scalar variables but you can't create new arrays.

mehr als 7 Jahre vor | 0

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How can I recompile the GPU libraries ?
This is a known issue with CUDA 9.1 and the new Turing generation of GPUs. You don't need to do anything except ignore the initi...

mehr als 7 Jahre vor | 3

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mexcuda not finding CUDA 10.0 even after I specify it via setenv('MW_NVCC_PATH',...)
As it says there in the error message, you need CUDA 9.1, not 10.

mehr als 7 Jahre vor | 0

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Any GPU implementation of k-nearest neighbor search?
knnsearch is supported on the GPU, so just use it!

mehr als 7 Jahre vor | 2

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GPU arrayfun is so slow, what is going on?
You haven't called GPU arrayfun here, you've called CPU arrayfun and in the arrayfun function you are doing stuff on the GPU. Th...

mehr als 7 Jahre vor | 1

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Can I process 'fit' with a GPU?
We plan to accelerate the rate at which we provide improved coverage for gpuArray support in MATLAB Toolboxes, including Stats a...

mehr als 7 Jahre vor | 1

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Can I process 'fit' with a GPU?
No, there isn't, but other options may be adaptable to your problem. https://uk.mathworks.com/matlabcentral/answers/431697-make...

mehr als 7 Jahre vor | 1

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how can I output different array size than input by GPU arrayfun?
You can't output a variable sized output from GPU arrayfun, which would require atomic operations. You're going to have to compu...

mehr als 7 Jahre vor | 0

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