Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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

CUDA Core Compute Libraries

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

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

Safe rust wrapper around CUDA toolkit

🚀 你的YOLO部署神器。TensorRT Plugin、CUDA Kernel、CUDA Graphs三管齐下，享受闪电般的推理速度。| Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.

CUDA Kernel Benchmarking Library

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

Kernel Tuner

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

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.

Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research

(REOS) Radar and Electro-Optical Simulation Framework written in C++.

A tool for examining GPU scheduling behavior.

Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

(REOS) Radar and ElectroOptical Simulation Framework written in Fortran.

This repertory contains some resources which I learn new technologies

This is a skeleton labwork for students. It provides basic building block for labworks. Only focus on programming for High-Performance Computing techniques.

Quantum-inspired evolutionary algorithms for Optimization problems