Productive, portable, and performant GPU programming in Python.
- taichi
- differentiable-programming
- gpu-programming
- sparse-computation
Repository Index
47,133 repositories indexed
1–13 of 13 · Most stars
Development repository for the Triton language and compiler
GPU Accelerated JavaScript
CUDA on non-NVIDIA GPUs
- cuda
- rust
FlashMLA: Efficient Multi-head Latent Attention Kernels
NumPy & SciPy for GPU
- cuda
- cudnn
- cublas
- cusolver
CUDA Templates and Python DSLs for High-Performance Linear Algebra
- cuda
- deep-learning
- deep-learning-library
- cpp
ArrayFire: a general purpose GPU library.
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! 🚀
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.
- vulkan
- vulkan-compute
- vulkan-example
- vulkan-tutorial
cuGraph - RAPIDS Graph Analytics Library
Drop-in FSR 3.1 upscaler for Direct3D 12 that runs DLSS's network (Model E) on AMD GPUs
Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how that access is handed off.