HazyResearch / ThunderKittens
Tile primitives for speedy kernels
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Tile primitives for speedy kernels
cuGraph - RAPIDS Graph Analytics 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.
CUDA Kernel Benchmarking Library
LLM training in simple, raw C/CUDA
NCCL Tests
CUDA accelerated rasterization of gaussian splatting
A massively parallel, optimal functional runtime in Rust
Instant neural graphics primitives: lightning fast NeRF and more
FlashInfer: Kernel Library for LLM Serving
CUDA Library Samples
RCCL Performance Benchmark Tests
Causal depthwise conv1d in CUDA, with a PyTorch interface