Top 23 Gpgpu Open-Source Projects

• hashcat

  103 19,965 8.8 C

  World's fastest and most advanced password recovery utility

  

Project mention: Hacking WiFi 101: basic concepts, terminology, and a real-life example | dev.to | 2024-04-03

Hashcat Cracking WPA/WPA2 Spacehuhn's Deauther

• gpu.js

  9 14,968 0.0 JavaScript

  GPU Accelerated JavaScript

  

Project mention: Deep Learning in JavaScript | news.ycombinator.com | 2024-03-28

You might already be familiar, but a GPU.js backend can provide some speedups via good old WebGL -- no need for WebGPU just yet!

[0]: https://github.com/gpujs/gpu.js/

• InfluxDB

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• john

  77 9,325 9.3 C

  John the Ripper jumbo - advanced offline password cracker, which supports hundreds of hash and cipher types, and runs on many operating systems, CPUs, GPUs, and even some FPGAs

  

Project mention: Best Hacking Tools for Beginners 2024 | dev.to | 2024-02-01

John The Ripper

• ArrayFire

  6 4,418 7.1 C++

  ArrayFire: a general purpose GPU library.

  

• SHADERed

  24 4,197 0.0 C++

  Lightweight, cross-platform & full-featured shader IDE

Project mention: Confused in terms of where to start with framework/technology etc. Need help picking between learning ShaderToy v/s OpenGL v/s WebGL | /r/GraphicsProgramming | 2023-06-20

If you specifically want to learn shader programming then https://shadered.org/ is a lot more practical than Shadertoy.

• FluidX3D

  53 3,210 8.6 C++

  The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

Project mention: FluidX3D | news.ycombinator.com | 2024-03-24

• ComputeSharp

  38 2,549 9.8 C#

  A .NET library to run C# code in parallel on the GPU through DX12, D2D1, and dynamically generated HLSL compute and pixel shaders, with the goal of making GPU computing easy to use for all .NET developers! 🚀

Project mention: ILGPU VS ComputeSharp - a user suggested alternative | libhunt.com/r/ILGPU | 2023-10-27

• SaaSHub

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• futhark

  52 2,299 9.8 Haskell

  :boom::computer::boom: A data-parallel functional programming language

  

Project mention: What downsides exist to Futhark? Seems almost too good to be true? | /r/CUDA | 2023-06-29

Why Futhark? (futhark-lang.org)

• MetalPetal

  1 1,836 0.0 Objective-C

  A GPU accelerated image and video processing framework built on Metal.

  

• chapel

  26 1,743 10.0 Chapel

  a Productive Parallel Programming Language

  

Project mention: Introduction to GPU Programming in Chapel | news.ycombinator.com | 2024-01-16

Thanks, @subharmonicon!

While Chapel can run on many different systems, the main goal is making HPC programming much easier. Therefore, we are currently focusing on hardware that you can find in HPC systems (NVIDIA, AMD and Intel). Metal doesn't fall into that category, unfortunately. So far, the name came up infrequently in our discussions IIRC (especially targetting SPIRV), but we haven't heard from any [potential] user who may be interested in it. I would encourage you or anybody else interested in it to create an issue asking for the feature: https://github.com/chapel-lang/chapel/issues/new. Seeing public interest in that direction can change our prioritization.

One thing that I wanted to add that's not in the blogpost is the "cpu-as-device" mode. With that mode, you can use any machine, even one without a GPU, to write applications using Chapel's GPU features. That mode is for those who want to do initial development/debugging on their personal laptops before putting their application on an HPC system. In other words, while you can't use Metal directly, you can still write GPU-enabled applications in your Mac using Chapel, if the end goal is to run it on an HPC system. More details on cpu-as-device: https://chapel-lang.org/docs/main/technotes/gpu.html#cpu-as-...

• Emu

  3 1,590 0.0 Rust

  The write-once-run-anywhere GPGPU library for Rust

• Boost.Compute

  0 1,506 0.0 C++

  A C++ GPU Computing Library for OpenCL

  

• kompute

  37 1,494 8.1 C++

  General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

  

Project mention: Intel CEO: 'The entire industry is motivated to eliminate the CUDA market' | news.ycombinator.com | 2023-12-14

The two I know of are IREE and Kompute[1]. I'm not sure how much momentum the latter has, I don't see it referenced much. There's also a growing body of work that uses Vulkan indirectly through WebGPU. This is currently lagging in performance due to lack of subgroups and cooperative matrix mult, but I see that gap closing. There I think wonnx[2] has the most momentum, but I am aware of other efforts.

[1]: https://kompute.cc/

[2]: https://github.com/webonnx/wonnx

• Arraymancer

  21 1,309 8.2 Nim

  A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Project mention: Arraymancer – Deep Learning Nim Library | news.ycombinator.com | 2024-03-28

It is a small DSL written using macros at https://github.com/mratsim/Arraymancer/blob/master/src/array....

Nim has pretty great meta-programming capabilities and arraymancer employs some cool features like emitting cuda-kernels on the fly using standard templates depending on backend !

• gpu-io

  6 1,176 5.7 TypeScript

  A GPU-accelerated computing library for running physics simulations and other GPGPU computations in a web browser.

Project mention: Share your CA/Alife programs for my students! | /r/cellular_automata | 2023-05-13

• TornadoVM

  22 1,120 9.9 Java

  TornadoVM: A practical and efficient heterogeneous programming framework for managed languages

  

Project mention: Intel Gaudi 3 AI Accelerator | news.ycombinator.com | 2024-04-10

You don't need to use C++ to interface with CUDA or even write it.

A while ago NVIDIA and the GraalVM team demoed grCUDA which makes it easy to share memory with CUDA kernels and invoke them from any managed language that runs on GraalVM (which includes JIT compiled Python). Because it's integrated with the compiler the invocation overhead is low:

https://developer.nvidia.com/blog/grcuda-a-polyglot-language...

And TornadoVM lets you write kernels in JVM langs that are compiled through to CUDA:

https://www.tornadovm.org

There are similar technologies for other languages/runtimes too. So I don't think that will cause NVIDIA to lose ground.

• MatX

  7 1,117 9.1 C++

  An efficient C++17 GPU numerical computing library with Python-like syntax

  

Project mention: An efficient C++17 GPU numerical computing library with Python-like syntax | /r/programming | 2023-10-05

• stdgpu

  0 1,086 7.1 C++

  stdgpu: Efficient STL-like Data Structures on the GPU

• compute-runtime

  58 1,075 10.0 C++

  Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

  

Project mention: Intel Graphics Compute Runtime for OneAPI Level Zero and OpenCL | news.ycombinator.com | 2023-08-02

• ILGPU

  6 1,069 9.0 C#

  ILGPU JIT Compiler for high-performance .Net GPU programs

Project mention: ILGPU VS ComputeSharp - a user suggested alternative | libhunt.com/r/ILGPU | 2023-10-27

• neanderthal

  5 1,043 6.7 Clojure

  Fast Clojure Matrix Library

  

• AdaptiveCpp

  19 1,046 9.7 C++

  Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

  

Project mention: What Every Developer Should Know About GPU Computing | news.ycombinator.com | 2023-10-21

Sapphire Rapids is a CPU.

AMD's primary focus for a GPU software ecosystem these days seems to be implementing CUDA with s/cuda/hip, so AMD directly supports and encourages running GPU software written in CUDA on AMD GPUs.

The only implementation for sycl on AMD GPUs that I can find is a hobby project that apparently is not allowed to use either the 'hip' or 'sycl' names. https://github.com/AdaptiveCpp/AdaptiveCpp

• arrayfire-rust

  4 805 0.0 Rust

  Rust wrapper for ArrayFire

  

• SaaSHub

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Gpgpu related posts

• DCompute: Native execution of D on GPUs and other Accelerators

  1 project | news.ycombinator.com | 24 Mar 2024

• Show HN: Shadeup – A language that makes WebGPU easier

  4 projects | news.ycombinator.com | 17 Jan 2024

• Metal-flash-attention: Faster alternative to Metal Performance Shaders

  1 project | news.ycombinator.com | 25 Dec 2023

• password decryption help

  3 projects | /r/privacy | 10 Dec 2023

• How to get hash from encrypted .vbox file?

  2 projects | /r/HashCracking | 15 Nov 2023

• ILGPU VS ComputeSharp - a user suggested alternative

  2 projects | 27 Oct 2023

• An efficient C++17 GPU numerical computing library with Python-like syntax

  1 project | /r/programming | 5 Oct 2023
• A note from our sponsor - InfluxDB
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