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Top 16 C Cuda Projects
World's fastest and most advanced password recovery utilityProject mention: How to get hash from encrypted .vbox file? | /r/HashCracking | 2023-11-15
The Hashcat Github discussion only states that it now supports .vbox hashes, but does not say how get the hash from the file. https://github.com/hashcat/hashcat/issues/2324
Samples for CUDA Developers which demonstrates features in CUDA ToolkitProject mention: Is anyone successfully using an RTX 3000-series under WSL2? | /r/learnmachinelearning | 2023-04-04
installing, building, and running WSL CUDA examples from https://github.com/nvidia/cuda-samples
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer
BitCracker is the first open source password cracking tool for memory units encrypted with BitLockerProject mention: How to bypass the admin password when Windows(C:) is locked with bitlocker? | /r/Windows11 | 2023-09-13
Clean reinstall. Or try bitcracker : https://github.com/e-ago/bitcracker
SIMD Library for Evaluating Elementary Functions, vectorized libm and DFTProject mention: The Case of the Missing SIMD Code | news.ycombinator.com | 2023-06-08
I'm the main author of Highway, so I have some opinions :D Number of operations/platforms supported are important criteria.
A hopefully unbiased commentary:
Simde allows you to take existing nonportable intrinsics and get them to run on another platform. This is useful when you have a bunch of existing code and tight deadlines. The downside is less than optimal performance - a portable abstraction can be more efficient than forcing one platform to exactly match the semantics of another. Although a ton of effort has gone into Simde, sometimes it also resorts to autovectorization which may or may not work.
Eigen and SLEEF are mostly math-focused projects that also have a portability layer. SLEEF is designed for C and thus has type suffixes which are rather verbose, see https://github.com/shibatch/sleef/blob/master/src/libm/sleef... But it offers a complete (more so than Highway's) libm.
INSTA - Instant Volumetric Head Avatars [CVPR2023] (by Zielon)Project mention: I am very happy to share our recent CVPR2023 work on instant volumetric head avatars (INSTA) which allows you to reconstruct an animatable NeRF of a human head within a few minutes. | /r/computergraphics | 2023-04-10
Agenium Scale vectorization library for CPUs and GPUs
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
Build userspace NVMe drivers and storage applications with CUDA support
qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization
C++ raytracer that supports custom models. Supports running the calculations on the CPU using C++11 threads or in the GPU via CUDA. (by maxilevi)Project mention: CUDA Accelerated Raytracer | /r/hypeurls | 2023-06-15
Fast, Expressive, & High-Performance Programming Language for those who dare
Program for finding low gate count implementations of S-boxes.
Spacemesh proof of space time gpu optimized setup
GPU based Compressed Graph TraversalProject mention: Vectorizing Graph Neural Networks | news.ycombinator.com | 2023-07-03
> I believe you are not guaranteed for the edge data of adjacent nodes to be adjacent in memory
The edge data of a particular node is contiguous, but yes, the edge data of a collection of nodes is not contiguous. You can reorder (permute) the graph for some metric as a preprocessing step so that you get better locality. This only works for static graphs though.
> For float-based edge data I think quantization works well, and I believe you can further compress the ROW/COL indices
Yes, index compression is pretty well studied and understood. The challenge here is mostly good compression ratio and high decompression performance. There are a couple of works that I'm aware of that do this for gpus. This repo by Mo Sha et al. (https://github.com/desert0616/GCGT) is pretty good, and I also did some work in this space (https://github.com/pgera/efg).
A library to create kaleidoscope effect on images with CUDA. You can build on all platforms using CMake
A Blender 3.0.0 fork that will allow you to subdivide complex meshes using CUDA compatible GPUs. (WIP)
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C Cuda related posts
How to bypass the admin password when Windows(C:) is locked with bitlocker?
1 project | /r/Windows11 | 13 Sep 2023
CUDA Accelerated Raytracer
1 project | /r/hypeurls | 15 Jun 2023
2 projects | /r/CryptoCurrency | 21 May 2023
Accessing old laptop removed from domain
2 projects | /r/sysadmin | 2 May 2023
Hey, Can someone help me with this question. How Do I activate Cuda cores on gpu with my p2p programm Gupax? I already tried to modify the xmrig config file. but Gupax seems to complete neglect every attempt of changing the files. I hope somebody Can help with this noob question.
2 projects | /r/MoneroMining | 30 Apr 2023
I am very happy to share our recent CVPR2023 work on instant volumetric head avatars (INSTA) which allows you to reconstruct an animatable NeRF of a human head within a few minutes.
2 projects | /r/computergraphics | 10 Apr 2023
Is anyone successfully using an RTX 3000-series under WSL2?
1 project | /r/learnmachinelearning | 4 Apr 2023
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www.saashub.com | 28 Nov 2023
What are some of the best open-source Cuda projects in C? This list will help you: