《CUDA C Programming Guide》(《CUDA C 编程指南》)导读 Tutorial 01: Say Hello to CUDA An Easy Introduction to CUDA C and C++ Using the NVIDIA CUDA Stream-Ordered Memory Allocator, Part 1 Using the NVIDIA CUDA Stream-Ordered Memory Allocator, Part 2 demo saxpy.cu #include <stdio.h> __glo...
【CUDA调优指南】合并访存与Transpose 比飞鸟贵重的多_HKL 57:16 CUDA实现矩阵乘法的8种优化策略编程介绍 Deep_parallel 3:34:28 Theitzy资源网 8:44:54 加州大学尔湾分校《Go语言编程|Programming with Google Go》中英字幕 GPT中英字幕课程资源 9:50:38...
CUDA is a general C-like programming developed by NVIDIA to program Graphical Processing Units (GPUs). CUDALink provides an easy interface to program the GPU by removing many of the steps required. Compilation, linking, data transfer, etc. are all handle
how to implement deep learning activation kernels with cuda in c++ Guide Part 1:cpp cuda programming tutorial Part 2: cuda activation kernels Part 3: cublasSgemm for large matrix multiplication on gpu cuda utils cuda.h #ifndef__CUDA_H_#define__CUDA_H_#include"cuda_runtime.h"#include"curand...
CUDA Developer Tools is a new tutorial video series for getting started with CUDA developer tools. Grow your skills, apply our examples to your own development environment, and stay updated on features and functionalities. The videos walk you through how to analyze performance reports, offer debuggi...
“Anaconda is very supportive of NVIDIA’s effort to provide a unified and comprehensive set of interfaces to the CUDA host APIs from Python. We look forward to adopting this package in Numba's CUDA Python compiler to reduce our maintenance burden and improve interoperability within the CUDA Pyth...
$ Parallel Programming in CUDA C/C++ But wait… GPU computing is about massive parallelism! We need a more interesting example… We'll start by adding two integers and build up to vector addition © NVIDIA Corporation 2011 ab c Addition on the Device A simple kernel ...
cuda-programmingtransformer-modelskv-cachellmvllmllm-inferencetriton-kernels UpdatedApr 10, 2025 Python PaddleJitLab/CUDATutorial Star560 A self-learning tutorail for CUDA High Performance Programing. deep-learningcuda-programming UpdatedApr 11, 2025 ...
^https://github.com/HolyChen/cuda-tutorial/blob/master/src/chapter02/README.md ^https://github.com/deeperlearning/professional-cuda-c-programming/blob/master/examples/chapter02/sumArraysOnGPU-small-case.cu 编辑于 2023-07-04 17:41・北京 ...
- 推荐资源: - PyTorch Extensions Tutorial 5. 实际练习 实际编写一些简单的 CUDA 内核并将其集成到 PyTorch 中是很重要的。你可以从简单的矩阵运算、卷积操作等开始,逐渐深入复杂的应用。 推荐学习步骤: 1. 学习 CUDA 基础,通过编写简单的 CUDA 内核来熟悉 GPU 编程。 2. 学习 PyTorch C++ 扩展和 ATen 库,...