![]() As such, CUDA can be incrementally applied to existing applications. Serial portions of applications are run on the CPU, and parallel portions are offloaded to the GPU. Support heterogeneous computation where applications use both the CPU and GPU. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation. Provide a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).ĬUDA was developed with several design goals in mind: Introduction ĬUDA ® is a parallel computing platform and programming model invented by NVIDIA ®. Regarding the original comment-no, it shouldn't mess up the Anaconda on the Windows side they are indeed separate, so you will end up with two installations and different environments.Īs for the follow-up on using the Anaconda installed on Windows from the WSL side, I haven't really tried this one myself, so right now I'm mostly speculating, but it should be possible since you have access to the Windows file system via /mnt.įor that, I'd think that the way to go is to create symbolic links to the Anaconda installation, in a similar fashion to OP's shortcut to the notebooks.The installation instructions for the CUDA Toolkit on Linux. Has anyone figured this out yet? I agree it's a great concern. Many users already have Anaconda installed on Windows, so using it through WSL 2 instead of 'double install', would be great. If I install Anaconda on the WSL via these steps, it shouldn't mess up the Anaconda installation on the Windows side should it? Any insight in this regard is appreciated. I am doing a lot of work on a remote linux station and want to use the WSL to run Anaconda, Jupyter Notebooks, etc. I have Anaconda installed on my main Windows 10 System using the *.exe (latest version). ![]() I then uninstalled/reinstalled jupyter with conda to avoid a 500 error for dependencies". "A note to be made from my installation - there was an issue with Jupyter that required conda update conda and conda update conda-build. When you copy and paste the URL, you'll see everything in your C:/Users/kauff/JupyterNotebooks folder. To test, simply type jup from anywhere in the ubuntu directory and it will take you notebooks folder and run jupyter.Restart the terminal for this new command to take effect. bash_aliases: alias jup='cd /home/kauff/notebooks & jupyter notebook -no-browser. I made an alias for the juypter command by putting this command in my. ![]() ln -s /mnt/c/Users/kauff/Documents/JupyterNotebooks/ notebooks Now when you look at Jupyter on :8888, you should see a notebooks folder that has everything your C:/Users/kauff folder has.made a symlink between my C:/Users/kauff/Documents/JupyterNotebooks folder (where I put my downloaded notebooks in Windows) to my Ubuntu notebook directory:.Leave a comment on anything you see that doesn't work and I can look into it! A few other things that I did out of laziness but aren't necessary If it worked, you should see your notebooks! In the terminal, it will give you a link to paste into your browser. it's necessary since you don't have a browser (probably) in your subsystem. The no browser flag will still run Jupyter on port 8888, but it won't pop it open automatically. To open jupyter, type $ jupyter notebook -no-browser.To do this, I added "export PATH=/home/kauff/anaconda3/bin:$PATH" to the bottom of my ~/.bashrc file. Manually add the Anaconda bin folder to your PATH.If it doesn't have anaconda in the path, do the next step. Mine is /home/kauff/anaconda3/bin/python. It should print a path that has anaconda in it. To test that it worked, run $ which python. ![]()
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