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Andrea Picciau

Last seen: 10 meses hace |  Con actividad desde 2017

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how to install supported CUDA Toolkit 10.2 on Ubuntu 20.04 LTS Linux
This page from the documentation might help! Requires at least MATLAB R2023b.

alrededor de 1 año hace | 0

Respondida
CUDA for M1 MacBook Pro
Hi Fatemah, You might be interested in this blog article of ours: Exploring the MATLAB beta for Native Apple Silicon. This talk...

más de 2 años hace | 1

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how to install supported CUDA Toolkit 10.2 on Ubuntu 20.04 LTS Linux
Hi Michal, Parallel Computing Toolbox (and GPU coder from what I know) comes with its own version of the toolkit, so you should...

casi 4 años hace | 1

Respondida
gpuDevice suddenly stopped working
Hello there! I would check the following: Make sure that the environment variable CUDA_VISIBLE_DEVICES is not set. You can do ...

alrededor de 4 años hace | 0

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Respondida
Large discrepency between CPU and GPU with fftn and ifftn?
Hi Nathan, The results differ for two related reasons: GPUs and CPUs have quite different architectures, the CPU and GPU algo...

más de 4 años hace | 1

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Respondida
Why is MATLAB gpuArray sparse matrix multiplication so fast despite using double precision?
Hello there! The correct way to time GPU operations is by using gputimeit. mvm_time = gputimeit(@() gpu_matrix*gpu_input, 1); ...

más de 4 años hace | 2

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Alternatives to accumarray for faster calculations?
Hi Nathan, Accumulation operations require synchronisation and are never going to squeeze the best performance out of your GPU....

más de 4 años hace | 3

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Respondida
How to run program on GPU
Hi Sania, If you're training your network, you need to set 'ExecutionEnvironment' to 'gpu' or 'multi-gpu' in trainingOptions. ...

casi 5 años hace | 0

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Respondida
GeForce GTX 1080 TI "GPU acceleration using the Parallel Computing Toolbox"
Hi Khaled, It's going to be difficult for anyone to help without a crash dump. The best thing to do is to click on the button a...

alrededor de 5 años hace | 1

Respondida
Why is the gpuArray version of my code slower?
Hi Ariel, There are three problems with your script. Your code is doing a lot of for loops and indexing of gpuArray data, whic...

más de 5 años hace | 1

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GPU utilization and parallel computation With Matlab for heavy computation
I'll try to answer your questions in order... Yes! Isn't that great? Yes, because there are two problems with your code: (a) y...

más de 5 años hace | 0

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Respondida
Out of memory issue on evaluating CNNs
The problem is that your GPU's 6GB memory is not enough to execute the semantic segmentation with the default settings. Reducing...

más de 5 años hace | 4

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Respondida
Setting up desktop computer for remote computing
To do that, you'll need to have a MATLAB Parallel Server license. If you have it, you can install the MATLAB Job Scheduler on yo...

más de 5 años hace | 0

Respondida
PARFOR Transparency violation error
The problem occurs in this line: syms tt Although the syms function is very handy for hacking symbolic math on your client mac...

más de 5 años hace | 6

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Respondida
Running Code on GPU Seems much Slower than Doing so on CPU
You don't need to disable JIT acceleration. Rather, you need to measure using timeit and gputimeit like so: % CPU data a = one...

más de 5 años hace | 1

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