World's fastest and most advanced password recovery utility
GPU Accelerated JavaScript
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
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
Where the GPU for the Web work happens!
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops ๐ฆ
A modular and open-ended toolkit for WebGPU, with advanced type inference and the ability to write shaders in TypeScript
:boom::computer::boom: A data-parallel functional programming language
Multi-platform high-performance compute language extension for Rust.
โ
Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) 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!
ILGPU JIT Compiler for high-performance .Net GPU programs
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
Intelยฎ Graphics Compute Runtime for oneAPI Level Zero and OpenCLโข Driver
An efficient C++20 GPU numerical computing library with Python-like syntax
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
GPGPU processor supporting RISCV-V extension, developed with Chisel HDL
Thin, unified, C++-flavored wrappers for the CUDA APIs
C++ library for solving large sparse linear systems with algebraic multigrid method
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android
Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.
Beautiful shader components, built on vgpu and TypeGPU. 100% Free, Zero config, one command setup.