Answered
MATLAB : find a way with GPU NVIDIA to inverse quickly a large matrix of symbolic variables
Sorry, but Symbolic Math in MATLAB does not have GPU support.

1 year ago | 1

Answered
Which version of MATLAB will provide functional (i.e. working) GUI interactions?
You made a pre-emptive request that any response not be evasive and I wanted to make an attempt to answer your original question...

1 year ago | 1

Answered
NVIDIA QUADRO CUDA® Toolkit Version
MATLAB R2021a supports all NVIDIA GPUs as of this date, so feel free to get any card you want! The fastest Quadro I know of righ...

1 year ago | 0

| accepted

Answered
Parallel Computing Toolbox (parfor slower than for, GPU slower than CPU)
1) CPU/parfor: How can I measure the time transfer when doing parfor (since parfor is slower than for when calling to a part of ...

1 year ago | 0

Answered
GPU Coder vs. ONNXRuntime, is there a difference in inference speed?
You can compile your network for TensorRT using GPU Coder if that's your intended target, no need to go through ONNX. I don't b...

1 year ago | 0

Answered
Why is my code running slower on the GPU?
Increasing the batch size alone cannot improve convergence in a simple MLP, you need to match it with an increase to the learnin...

1 year ago | 0

| accepted

Answered
Can I tell Matlab not to use contiguous memory?
You might want to ask yourself why you need so many variables in your workspace at once and whether you couldn't make better use...

1 year ago | 2

Answered
How to plot heatmap using gpuArray?
Sorry, scatteredInterpolant doesn't support gpuArray.

1 year ago | 0

Answered
Can I hold 2 batches of dlnetwork gradients and update network parameters in 1 operation?
Yes, absolutely, just sum the gradients until your batch size is the size you want, then update the model. The principle is exac...

1 year ago | 0

| accepted

Answered
Unexpected error calling cuDNN: CUDNN_STATUS_BAD_PARAM.
After some investigation (see thread below), this problem seems to be limited to RTX 3080 and 3070 and Linux. It can be worked a...

1 year ago | 4

| accepted

Answered
Image being labelled something else than in database
You have called classify using the variable net. But the network you trained is called netTransfer. %Train the network that con...

1 year ago | 1

| accepted

Answered
How to print in cuda kernel when writing mex files
For convenience, printf is redirected by mex.h so that output will appear in the command window. You can use printf, but you sho...

1 year ago | 0

| accepted

Answered
For indexing in gpuArray, how can I improve my code?
Firstly, use pdist2. Secondly, say no to loops: Y = reshape(obj.x_train',1,[],num_train); delta = X-Y; dists = squeeze(sqrt(...

1 year ago | 0

| accepted

Answered
Why doesn't my CNN fit into the memory of the GPU?
VGG16 is a 1GB model, if you inflate it to 3-D you're going to have very serious memory pressure. More to the point, the error y...

1 year ago | 0

| accepted

Answered
large training dataset leads to error "out of memory. Type "help memory" for your options. caused by: out of memory. Type "help memory " for your options".
Have you followed the following advice from the example?: "The images in the CamVid data set are 720 by 960 in size. Image size...

1 year ago | 0

Answered
How can we train using gpu instead of cpu ?
By default your GPU will be used if you have one. To force it, set the ExecutionEnvironment training option to 'gpu'.

1 year ago | 0

| accepted

Answered
mexcuda in ubuntu error
Try mexcuda -lcublas GEMM_GPU.cu

1 year ago | 0

| accepted

Answered
mexcuda in ubuntu error
Your declaration const mwSize dims[] = {numCRows,numCCols,batch_count}; Is casting away the signed-ness of your variable numCR...

1 year ago | 0

Answered
Inconsistent results when using a Cuda Kernel in Matlab
You are overwriting the contents of wReal and wImag inside your kernel, but every thread with the same x grid position is readin...

1 year ago | 0

| accepted

Answered
Could I use the `mxGPUArray` format data in the cuda kernel function?
No. You have to get the GPU data pointer using the mxGPUGetData function.

1 year ago | 0

Answered
How `gpuArray` save sparse matrix when running Preconditioned conjugated gradient?
gpuArray currently stores sparse matrices internally in CSR format. This matches the NVIDIA cusparse routines that are used for ...

1 year ago | 1

| accepted

Answered
Using CUDA mex files interoperably with gpuArray
A third party CUDA MEX file could be built with a different version of the CUDA toolkit, and thus a different version of the CUD...

1 year ago | 1

| accepted

Answered
GPU arrays support only fundamental numeric or logical data types
It looks distinctly like one of your custom functions, preprocessData or augmentData, is doing something illegal with gpuArray o...

1 year ago | 1

| accepted

Answered
Code optimization with GPU
I = reshape(gpuArray.eye(q),q,1,q); U = I.*my_line_vector;

1 year ago | 0

| accepted

Answered
GPU GTX 1650 TI support
MathWorks does not list every single supported device, instead the documentation shows which device compute capabilities are sup...

1 year ago | 0

| accepted

Answered
Runing code with matlab on the GPU restarts the PC
Almost always the only way the GPU can cause your PC to restart is a power supply issue. You should check that your PC's power s...

1 year ago | 1

| accepted

Answered
deeplearning Matlab is not compatible with graphics card
As explained in the documentation, both for CUDA support and for the enableForwardCompatibility function, "Enabling forward comp...

1 year ago | 0

Answered
The CUDA driver must recompile the GPU libraries
There isn't really much to say. This 'forward compatibility' is explained in the CUDA support by release documentation. As it sa...

1 year ago | 0

| accepted

Answered
gpuArray/imresize Input array has too many elements
There is a size limitation for gpuArray/imresize of <= 2^27 elements which is only documented in help text. >> help gpuArray/im...

1 year ago | 0

| accepted

Answered
GPU vs. CPU in training time
Use the DispatchInBackground training option to improve throughput when your data access and preprocessing is costly.

1 year ago | 0

| accepted

Load more