CUDA C++ Core Libraries
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Updated
May 23, 2024 - C++
CUDA C++ Core Libraries
A high-performance, zero-overhead, extensible Python compiler using LLVM
A real-time path tracer from scratch written in C++ using CUDA and OpenGL
Learnings and experimentation with GPU programming
Computations and statistics on manifolds with geometric structures.
🌟 Vertex Centric approach for building GNN/TGNNs
A General-purpose Parallel and Heterogeneous Task Programming System
Towards Scalable and Efficient K-Means Data Clustering.
An Upstream Clang/LLVM-based toolchain for contemporary C++ and heterogeneous programming
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
A GPU algorithm for enumerating weak pseudomanifolds
Productive, portable, and performant GPU programming in Python.
🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧
Programming Gemm Kernels on NVIDIA GPUs with Tensor Cores in Julia
Compute shaders interface for WGPU from julia
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.
Rust frontend to LuisaCompute and more!
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