blender-cuda-subdivision-surface-gpu
blender-metal
blender-cuda-subdivision-surface-gpu | blender-metal | |
---|---|---|
2 | 2 | |
2 | 1 | |
- | - | |
4.9 | 10.0 | |
over 2 years ago | over 2 years ago | |
C | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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
-
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.
-
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.
blender-metal
-
Experimental Cycles Metal backend: 3.3x speedup on M1
https://github.com/luciascarlet/blender-metal/releases/tag/3.1.0-Metal Just did, but it's not signed or anything so you'll probably have to codesign it to get macOS to not complain about it. If this doesn't work, building should be relatively straightforward even for non-developers though if you follow Blender's own guide.
What are some alternatives?
bitcracker - BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker
BlenderCompat - Windows 7 support for Blender 3.x and newer
cuda-samples - Samples for CUDA Developers which demonstrates features in CUDA Toolkit
herebedragons - A basic 3D scene implemented with various engines, frameworks or APIs.
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
blender-dev-tools
adorad - Fast, Expressive, & High-Performance Programming Language for those who dare
upbge - UPBGE, the best integrated game engine in Blender