brucefan1983 / CUDA-Programming
Sample codes for my CUDA programming book
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Sample codes for my CUDA programming book
Instant neural graphics primitives: lightning fast NeRF and more
FlashInfer: Kernel Library for LLM Serving
Graphics Processing Units Molecular Dynamics
CUDA accelerated rasterization of gaussian splatting
NCCL Tests
CUDA Kernel Benchmarking Library
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
cuGraph - RAPIDS Graph Analytics Library
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
🎉CUDA 笔记 / 大模型手撕CUDA / C++笔记,更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
WholeGraph - large scale Graph Neural Networks
CUDA Library Samples
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
A Real-Time Depth Sensor Simulator with GPU Acceleration
Causal depthwise conv1d in CUDA, with a PyTorch interface