NVIDIA / nvbench
CUDA Kernel Benchmarking Library
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CUDA Kernel Benchmarking Library
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
LLM training in simple, raw C/CUDA
Causal depthwise conv1d in CUDA, with a PyTorch interface
how to optimize some algorithm in cuda.
FlashInfer: Kernel Library for LLM Serving
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.
CUDA Library Samples
CUDA accelerated rasterization of gaussian splatting
TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Instant neural graphics primitives: lightning fast NeRF and more
cuGraph - RAPIDS Graph Analytics Library