A high-performance, zero-overhead, extensible Python compiler using LLVM

Danny's Awesome Rendering Engine

Deep Learning and Computer vision projects built using Python, Jupyter Notebooks, Google Collab, and GPU environment

CUDA C++ Core Libraries

A General-purpose Task-parallel Programming System using Modern C++

CHAI and RAJA provide an excellent base on which to build portable codes. CARE expands that functionality, adding new features such as loop fusion capability and a portable interface for many numerical algorithms. It provides all the basics for anyone wanting to write portable code.

Programming Gemm Kernels on NVIDIA GPUs with Tensor Cores in Julia

Computations and statistics on manifolds with geometric structures.

Productive, portable, and performant GPU programming in Python.

Compute shaders interface for WGPU from julia

Spatially Variant Lattice using GPU

oneAPI - Data Parallel C++ course for students

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

A 3D render engine from scratch, using CUDA/C++.

🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧

👁️‍🗨️📗 It's a repository of Nvidia CUDA programming.

OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.

An Upstream Clang/LLVM-based toolchain for contemporary C++ and heterogeneous programming

SYCL Benchmark Suite