Samples for CUDA Developers which demonstrates features in CUDA Toolkit
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Updated
May 29, 2024 - C
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
CUDA C++ Core 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
🎉CUDA 笔记 / 大模型手撕CUDA / C++笔记,更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot product、elementwise、softmax、layernorm、rmsnorm、hist etc.
CUDA Kernel Benchmarking Library
Safe rust wrapper around CUDA toolkit
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
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 Electro-Optical Simulation Framework written in C++.
(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
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