CUDA on non-NVIDIA GPUs
- cuda
- rust
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CUDA on non-NVIDIA GPUs
Open3D: A Modern Library for 3D Data Processing
NumPy & SciPy for GPU
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Optimized primitives for collective multi-GPU communication
A PyTorch Library for Accelerating 3D Deep Learning Research
ArrayFire: a general purpose GPU library.
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 🦖
LYGIA, it's a granular and multi-language (GLSL, HLSL, Metal, WGSL, WEGL and CUDA) shader library designed for performance and flexibility
cuGraph - RAPIDS Graph Analytics Library
Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library
ILGPU JIT Compiler for high-performance .Net GPU programs
An efficient C++20 GPU numerical computing library with Python-like syntax
stdgpu: Efficient STL-like Data Structures on the GPU
VUDA is a header-only library based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.
Thin, unified, C++-flavored wrappers for the CUDA APIs
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP
Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
Clojure library for CUDA development
SIMT Abstractions for Runtime Extensible Kernels (GPGPU programing with OCaml)
DCompute: Native execution of D on GPUs and other Accelerators
Cumo (pronounced like "koomo") is CUDA aware numerical library whose interface is highly compatible with Ruby Numo
Efficient and expressive arrayed vector math library with multi-threading and CUDA support in Common Lisp.