karpathy / llm.c
LLM training in simple, raw C/CUDA
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LLM training in simple, raw C/CUDA
Tile primitives for speedy kernels
CUDA accelerated rasterization of gaussian splatting
Causal depthwise conv1d in CUDA, with a PyTorch interface
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
FlashInfer: Kernel Library for LLM Serving
GPU accelerated decision optimization
Fast CUDA matrix multiplication from scratch
cuVS - a library for vector search and clustering on the GPU
DeepEP: an efficient expert-parallel communication library
CUDA Kernel Benchmarking Library
A massively parallel, optimal functional runtime in Rust
RCCL Performance Benchmark Tests
CUDA Library Samples
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.