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NVIDIA / nvbench
CUDA Kernel Benchmarking Library
NVIDIA / cub
[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl
karpathy / llm.c
LLM training in simple, raw C/CUDA
NVIDIA / cuopt
GPU accelerated decision optimization
thu-ml / SageAttention
[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.
NVIDIA / nccl-tests
NCCL Tests
alibaba / rtp-llm
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
nerfstudio-project / gsplat
CUDA accelerated rasterization of gaussian splatting
Dao-AILab / causal-conv1d
Causal depthwise conv1d in CUDA, with a PyTorch interface
princeton-vl / lietorch
deepseek-ai / DeepGEMM
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
thu-ml / SpargeAttn
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
siboehm / SGEMM_CUDA
Fast CUDA matrix multiplication from scratch