<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CUDA on PlumePHP</title><link>https://plumephp.com/tags/cuda/</link><description>Recent content in CUDA on PlumePHP</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Tue, 01 Sep 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://plumephp.com/tags/cuda/index.xml" rel="self" type="application/rss+xml"/><item><title>GPU 架构与并行计算：从 SIMT 到 GPGPU 编程</title><link>https://plumephp.com/gpu-architecture-compute/</link><pubDate>Tue, 01 Sep 2026 10:00:00 +0800</pubDate><guid>https://plumephp.com/gpu-architecture-compute/</guid><description>本文系统讲解 GPU 的 SIMT 执行模型、Warp / Wavefront 调度机制、完整显存层次（寄存器 → Shared Memory → L1 → L2 → 全局显存），深入分析 Warp Divergence、Occupancy、Memory Coalescing 等性能瓶颈，并对比 Vulkan Compute Shader 与 CUDA 两种 GPGPU 编程范式，涵盖归约、前缀和、矩阵乘法等经典并行算法实现。</description></item></channel></rss>