<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>DeviceMemory on Tony Bai</title><link>https://tonybai.com/tags/devicememory/</link><description>Recent content in DeviceMemory on Tony Bai</description><generator>Hugo</generator><language>zh-cn</language><copyright>2004-2026 Tony Bai. 版权所有.</copyright><lastBuildDate>Wed, 21 Jan 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://tonybai.com/tags/devicememory/index.xml" rel="self" type="application/rss+xml"/><item><title>当 Go 遇上 GPU：用 CUDA 释放千倍算力的实战指南</title><link>https://tonybai.com/2026/01/21/integrating-cuda-in-go/</link><pubDate>Wed, 21 Jan 2026 00:00:00 +0800</pubDate><guid>https://tonybai.com/2026/01/21/integrating-cuda-in-go/</guid><description>本文永久链接 – https://tonybai.com/2026/01/21/integrating-cuda-in-go 大家好，我是Tony Bai。 长期以来，高性能计算（HPC）和 GPU 编程似乎是 C++ 开发者的专属领地。Go 语言虽然在并发和服务端开发上表现卓越，但在触及 GPU 算力时，往往显得力不从心。 然而，在最近的 GopherCon 2025 上，软件架构师 Sam B...</description></item></channel></rss>