📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

DeepEP: an efficient expert-parallel communication library

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

FlashInfer: Kernel Library for LLM Serving

how to optimize some algorithm in cuda.

Examples demonstrating available options to program multiple GPUs in a single node or a cluster

Fastest kernels written from scratch

GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.

[MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

[NeurIPS 2025] ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive