Instant neural graphics primitives: lightning fast NeRF and more

📚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

Tile primitives for speedy kernels

cuGraph - RAPIDS Graph Analytics Library

NCCL Tests

Efficient GPU kernels for block-sparse matrix multiplication and convolution

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

CUDA Kernel Benchmarking Library

GPU accelerated decision optimization

Source code that accompanies The CUDA Handbook.

Yinghan's Code Sample

A plugin to use Nvidia GPU in PySCF package

NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer

Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite

Professional CUDA C Programming

Gallatin is a general-purpose memory manager for CUDA that allows for threads to quickly malloc and free memory of arbitrary size inside of kernels.

CUDA 12.2 HMM demos

a fast and customizable CUDA int4 tensor core gemm

CUPTI samples from NVIDIA

This repository provides a comprehensive guide to optimizing GPU kernels for performance, with a focus on NVIDIA GPUs. It covers key tools and techniques such as CUDA, PyTorch, and Triton, aimed at…