nerfstudio-project / gsplat
CUDA accelerated rasterization of gaussian splatting
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CUDA accelerated rasterization of gaussian splatting
Tile primitives for speedy kernels
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
DeepEP: an efficient expert-parallel communication library
LLM training in simple, raw C/CUDA
GPU accelerated decision optimization
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.
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
CUDA Kernel Benchmarking Library
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
Instant neural graphics primitives: lightning fast NeRF and more
Distributed multigrid linear solver library on GPU
NCCL Tests
cuVS - a library for vector search and clustering on the GPU
how to optimize some algorithm in cuda.