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

CUDA Core Compute Libraries

Example of RISC-V Vector programming

triton ops

Compile MLIR to PTX and execute it on NVIDIA GPUs

Official PyTorch implementation of "GaussianLSS - Toward Real-world BEV Perception via Depth Uncertainty Estimation using Gaussian Splatting" (CVPR 2025).

some hexagon intrinsic examples based on Qualcomm Hexagon

FlagGems is an operator library for large language models implemented in Triton Language.

State of the art sorting and segmented sorting, including OneSweep. Implemented in CUDA, D3D12, and Unity style compute shaders. Theoretically portable to all wave/warp/subgroup sizes.

awesome-autonomous-driving-bev-occ-lidar

hpc🔥🔥🔥 A collection of some awesome public CUDA, cuBLAS, TensorRT and High Performance Computing (HPC) projects.

mlir add new dialect accorrding to paper optimizationC/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

A list of web application security

A collection of various awesome lists for hackers, pentesters and security researchers

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

Native PyTorch library for quantization and sparsity

mlir_papers A scalable High-Level Synthesis framework on MLIR

镜像网站合集

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

Papers on occupation, including monocular and multi-view in autonomous driving scenarios

CUDA related news and material links

LLM training in simple, raw C/CUDA

Unified compiler/runtime for interfacing with PyTorch Dynamo.

Google Research

Pytorch/XLA SPMD Test code in Google TPU

🦚 🧰 Collection of basic GPU algorithms implemented in CUDA C++.

bilibili视频【CUDA 12.1 并行编程入门(C++语言版)】配套代码

Working draft of the proposed RISC-V V vector extension