cuda-kernels

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

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

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

CUDA Core Compute Libraries

Deep learning in Rust, with shape checked tensors and neural networks

Safe rust wrapper around CUDA toolkit

CUDA Kernel Benchmarking Library

Kernel Tuner

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010

Flash Dynamic Mask Attention

CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

Some CUDA design patterns and a bit of template magic for CUDA

Triton implementation of FlashAttention2 that adds Custom Masks.

Spiking Neural Networks in C++ with strong GPU acceleration through CUDA

High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.

CUDA kernel author's tools

Attention Kernels for Symmetric Power Transformers