cuda-samples VS wslg

installing, building, and running WSL CUDA examples from https://github.com/nvidia/cuda-samples

After which nvcc should be accessible to new sessions, and you can build C++ cuda stuff like cuda-samples. Python packages like pytorch should also see CUDA and be able to use it.

I haven't found any note that these APIs do not support Windows, and it also seems that the memMapIPCDrv CUDA sample supports Windows.

I installed nvidia-cuda-toolkit and tried to build https://github.com/NVIDIA/cuda-samples but I'm getting stupid errors... it installed nvccat /usr/bin/nvcc and the samples expect /usr/local/cuda/bin/nvcc... symlinking it to that location and it dies with

Can build the cuda-samples, then you have a working nvcc.

I have installed cuda and cudnn, and was testing the installation with the cuda-samples, as the Arch Wiki suggested. But, I am not able to get samples like nbody, smokeparticles, Mandelbrot, etc. to run. Although devicequery works fine, and I get the expected output, so I think there is not a problem with my cuda installation.

Hi, I don't have much experience with Nvidia Jetsons. You can find some examples on GitHub (here https://github.com/NVIDIA/cuda-samples). You can find CUDA implementations of most functions on the internet though, you just have to look for the specific thing you are looking for. Cuda kernels are not platform specific, they should work on GPUs and embedded developer boards without problems as long as you respect the limits imposed by the "compute capability" of your device, you just have to compile your code using the right architecture flag. The biggest limit you have to deal with when developing for Jetson nano is the low amount of memory.

—> git clone https://github.com/NVIDIA/cuda-samples.git —> cd cuda-samples/Samples/1_Utilities/deviceQuery/ —> make —> ./deviceQuery (Result=pass?good) —> cd ~/ —> wget https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh

is this the source code that u are talking about ? : https://github.com/NVIDIA/cuda-samples ? I dont see any CMakeLists.txt inside...

WSLg(Windows Subsystem for Linux GUI) uses RDP and FreeRDP to work: https://github.com/microsoft/wslg

I haven't tried it yet, but I'm hopeful the experience is better than last time I tried Hyper-V enhanced linux experience. I imagine this use case is getting FreeRDP way more attention.

For years I've developed in a Linux VM on a Windows host via VirtualBox. The typing lag on this, particularly in IDEs like VSCode and Rider, finally got to me. So, I moved over to WSL and have to say; the experience is amazing.

This is running in WSL?

Microsoft has some wayland stuff already for WSL, though I think internally there's RDP involved: https://github.com/microsoft/wslg

That said. Graphical apps will just run on WSL without needing to install anything. Check: https://github.com/microsoft/wslg

What are you talking about? Its free forever https://github.com/microsoft/wslg

Actually, you can https://github.com/microsoft/wslg

See: https://github.com/microsoft/wslg/issues/563 and other similar issues on wslg GitHub.

Apparently, WSLg does away with the need for a separate X server, making things "easy" to use:

https://github.com/microsoft/wslg

There's two completely different aspects to your question. 1) How to manage libraries in c++ without dying from cringe? I'd suggest you use cmake as the build system and grab library sources directly from GitHub using this tool: https://github.com/cpm-cmake/CPM.cmake 2) How to get apps that run under WSL to display windows-native windows? I'm not sure, but it's probably this: https://github.com/microsoft/wslg

Here’s a thread about it. You can get into the underlying RDP session instead of just apps launching. https://github.com/microsoft/wslg/issues/1019