blender-cuda-subdivision-surface-gpu
A Blender 3.0.0 fork that will allow you to subdivide complex meshes using CUDA compatible GPUs. (WIP) (by renamedquery)
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit (by NVIDIA)
| blender-cuda-subdivision-surface-gpu | cuda-samples | |
|---|---|---|
| 2 | 15 | |
| 2 | 5,348 | |
| - | 3.7% | |
| 4.9 | 5.0 | |
| over 2 years ago | 26 days ago | |
| C | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
blender-cuda-subdivision-surface-gpu
Posts with mentions or reviews of blender-cuda-subdivision-surface-gpu.
We have used some of these posts to build our list of alternatives
and similar projects.
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NVCC Fatal Error Code Because of "-x cu" Argument Being Passed by CMake
The full repo is available at https://github.com/katznboyz1/blender-cuda-subdivision-surface-gpu in case you need access to the full source for more details.
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CUDA Files in Blenders Source Code
I created a modifier (MOD_gpusubsurf.c) and I want to call a file compiled with NVCC (something like this) inside the MOD.c file. How would I go about linking the MOD .c file and the CUDA .cu file together? I found this on NVIDIA's website, and I believe that it's the right thing; however, I wanted to make sure that this is the right way.
cuda-samples
Posts with mentions or reviews of cuda-samples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-01.
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Is anyone successfully using an RTX 3000-series under WSL2?
installing, building, and running WSL CUDA examples from https://github.com/nvidia/cuda-samples
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Updated Install Instructions Dec 2022
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.
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Virtual Memory Management APIs for NVIDIA GPUs on Windows
I haven't found any note that these APIs do not support Windows, and it also seems that the memMapIPCDrv CUDA sample supports Windows.
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ROS with CUDA on 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
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Script to install nvidia drivers , cuda/nvcc, gcc11 and setup on Fedora 36
Can build the cuda-samples, then you have a working nvcc.
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Can't get some CUDA Samples to work
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.
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Cuda application question
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.
- My GPU-accelerated raytracing renderer
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Tutorial for ubuntu 20.04
—> 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
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cuda_kde_depth_packet_processor.cu:39:10: fatal error: helper_math.h: File or directory not found
is this the source code that u are talking about ? : https://github.com/NVIDIA/cuda-samples ? I dont see any CMakeLists.txt inside...
What are some alternatives?
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