JuliaGPU/KernelAbstractions.jl

CUDA programming in Julia.

Reusable array functionality for Julia's various GPU backends.

Metal programming in Julia

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs

Open-source CUDA, Triton and HIP compiler targeting multiple GPU and CPU architectures.

A framework for out-of-core and parallel execution

HIP: C++ Heterogeneous-Compute Interface for Portability

Fast and Furious AMD Kernels

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!