Respondida
Memory issue with texture in mexCUDA compiled code
It looks like the syntax for your function |mxArrayToTexture_3D_float4| is incorrect. You are passing the pointer |cuArray| by v...

11 meses hace | 0

Respondida
host compiler failed but others all passed with 'coder.checkGpuInstall('full')'
MSVC 2022 was not supported by the NVIDIA CUDA compiler in R2022b. You either need to install MSVC 2019 (or 2017) or upgrade MAT...

11 meses hace | 0

Respondida
cannot set gpu option in MBPO for catpole example
I do not see any |UseDevice| property in the <https://uk.mathworks.com/help/reinforcement-learning/ref/rl.option.rloptimizeropti...

11 meses hace | 1

Respondida
How to perform Eigenvalue Decomposition e.g, eig() on multiple GPUs？
eigendecomposition is a highly serial algorithm so that's why simple multi-process solutions aren't easy to find and why the GPU...

12 meses hace | 0

Respondida
Problem: Image segmentation of forest area using CNN and MATLAB's BLOCKPROC function.
In the documentation for semanticseg it says that the output is a categorical array. Converting to uint8 would normally work, b...

12 meses hace | 0

Respondida
Summing array elements seems to be slow on GPU
These are my results that I got on my (somewhat old) GeForce GTX 1080 Ti: CPU time: 16.1288 GPU time: 0.96266 If I change the...

12 meses hace | 0

| aceptada

Respondida
Summing array elements seems to be slow on GPU
Why are you recomputing H and HU inside the loop? They do not change. If you remove the sum, because the results are never used ...

12 meses hace | 1

Respondida
Examples of GPU do not work
This isn't a demo it's a blog from 11 years ago, and unfortunately it's using syntax that was removed from MATLAB 9 years ago. I...

12 meses hace | 1

Respondida
Half precision using GPU
As pointed out, gpuArray does not support half. The main reason is that half is an emulated type only meaningful for deployment ...

alrededor de 1 año hace | 1

| aceptada

Respondida
How to uncompress data faster than using for loop
No, |arrayfun| and |cellfun| are just convenient ways of writing loops, they don't have any special magic and often cause certai...

alrededor de 1 año hace | 1

Respondida
how can i use fitrgp() function for gpuarray?
|fitrgp| does not support gpuArray inputs, sorry.

alrededor de 1 año hace | 0

Respondida
Trouble using one of my GPUs
Hi Rohan. You may have to consult the documentation for your toolkit. The Titan RTX is a Turing card and may post-date the most ...

alrededor de 1 año hace | 0

Respondida
Error using gpuArray/norm Failed to initialize GPU cuSOLVER library.
|cuSolver| is an NVIDIA library that is included with your MATLAB installation. It makes no difference what versions of the CUDA...

alrededor de 1 año hace | 0

Respondida
mexcuda how to declare a matrix with size N given in input
Hi Charlotte. If you just want to pass an ordinary scalar value to a mex function then use the ordinary Mex API rather than the ...

alrededor de 1 año hace | 0

Respondida
How can we use Nadam optimizer in place of sgdm in training deep learning networks
You cannot do this using trainNetwork. You need to use a dlnetwork with a <https://uk.mathworks.com/help/deeplearning/ug/train-n...

alrededor de 1 año hace | 0

Respondida
brain tumor code errors
Looks like your version of MATLAB predates the |OutputNetwork| training option, which was introduced in R2021b.

alrededor de 1 año hace | 0

| aceptada

Respondida
Deep learning with partitionable datastores on a cluster
This error message is incorrect. It should say that your datastore is not PartionableByIndex. This was fixed in R2022a. As long...

alrededor de 1 año hace | 0

| aceptada

Respondida
i need to utilize fully of my GPUs during network training!
It's hard to be sure from the info you provide but it looks like the filesystem is your bottleneck. If you cannot load the next ...

alrededor de 1 año hace | 0

Respondida
Overcoming VRAM limitations on Nvidia A100
Just increase the MiniBatchSize and it'll use more memory.

alrededor de 1 año hace | 2

| aceptada

Respondida
i have problem in testing my network , i design cnn network to detect forged frames from videos i used 16 video for training and 4 for testing error: Out of memory on device
Try reducing the |MiniBatchSize|.

alrededor de 1 año hace | 0

Respondida
CUDA_ERROR_CONTEXT_IS_DESTROYED when calling gpuArray after simulations on GPU
Probably MCXLab is doing something bad to your GPU. Try adding |wait(gpuDevice)| after your MCXLab code.

alrededor de 1 año hace | 0

Respondida
Error when processing on HPC: Unable to allocate space for the FFT calculation. This might be due to insufficient memory on the GPU.
At a guess you are trying to share one GPU between multiple workers on a pool. Depending on how work is scheduled one or two wor...

alrededor de 1 año hace | 0

| aceptada

Respondida
nVidia GPU image processing suppo
https://www.google.com/search?q=MATLAB+gpu+image+processing&rlz=1C1GCEB_enGB1009GB1009&oq=MATLAB+gpu+image+processing&aqs=chrome...

alrededor de 1 año hace | 0

Respondida
How can I use GPU in regression learner app?
You cannot use the GPU through the classification and regression learner apps yet.This documentation page lists the Regression f...

alrededor de 1 año hace | 0

Respondida
how to run a function on GPU cores
It's probably best to read the extensive documentation available online that should give you a complete picture of how to levera...

alrededor de 1 año hace | 0

Respondida
Custom Layer Learnable Parameters Initialization.
This is now supported via the optional method initialize: https://www-integ2.mathworks.com/help/deeplearning/ug/define-custom-de...

más de 1 año hace | 1

| aceptada

Respondida
Disable the gpu.
As soon as you start MATLAB type setenv CUDA_VISIBLE_DEVICES -1 MATLAB will no longer recognise any GPU for computation.

más de 1 año hace | 2

Respondida
Algorithm to extract linearly dependent columns in a large scale [-1,1] matrix ( 10^5 by 10^6)
You might consider using distributed arrays on an HPC cluster.

más de 1 año hace | 0

Respondida
Accuracy problems using mldivide on GPU
The answer is not less accurate, it is just as inaccurate. What you have are 60001 massively overdetermined systems generated by...

más de 1 año hace | 1

Respondida
When training a neural network does every training image need to have every pixel class?
The answer to question 1 is no. The answer to question 3 is that probably 126 training images is not sufficient, you might need ...

más de 1 año hace | 0