C Cuda

Open-source C projects categorized as Cuda

Top 16 C Cuda Projects

  • hashcat

    World's fastest and most advanced password recovery utility

    Project 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

  • cuda-samples

    Samples for CUDA Developers which demonstrates features in CUDA Toolkit

    Project 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

  • InfluxDB

    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.

  • Remotery

    Single C file, Realtime CPU/GPU Profiler with Remote Web Viewer

  • bitcracker

    BitCracker is the first open source password cracking tool for memory units encrypted with BitLocker

    Project 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

  • sleef

    SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT

    Project 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

    https://github.com/Zielon/INSTA https://zielon.github.io/insta/

  • nsimd

    Agenium Scale vectorization library for CPUs and GPUs

  • Onboard AI

    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.

  • ssd-gpu-dma

    Build userspace NVMe drivers and storage applications with CUDA support

  • qCUDA

    qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization

  • raytracer

    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
  • adorad

    Fast, Expressive, & High-Performance Programming Language for those who dare

  • sboxgates

    Program for finding low gate count implementations of S-boxes.

  • gpu-post

    Spacemesh proof of space time gpu optimized setup

  • efg

    GPU based Compressed Graph Traversal

    Project 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).

  • libKaleidoscope

    A library to create kaleidoscope effect on images with CUDA. You can build on all platforms using CMake

  • blender-cuda-subdivision-surface-gpu

    A Blender 3.0.0 fork that will allow you to subdivide complex meshes using CUDA compatible GPUs. (WIP)

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-11-15.

C Cuda related posts


What are some of the best open-source Cuda projects in C? This list will help you:

Project Stars
1 hashcat 18,708
2 cuda-samples 4,488
3 Remotery 2,620
4 bitcracker 715
5 sleef 543
6 INSTA 318
7 nsimd 303
8 ssd-gpu-dma 255
9 qCUDA 76
10 raytracer 70
11 adorad 59
12 sboxgates 34
13 gpu-post 23
14 efg 12
15 libKaleidoscope 11
16 blender-cuda-subdivision-surface-gpu 2
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SaaSHub helps you find the best software and product alternatives