<?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>行列演算 高速化 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/%E8%A1%8C%E5%88%97%E6%BC%94%E7%AE%97-%E9%AB%98%E9%80%9F%E5%8C%96/</link><description>Recent content in 行列演算 高速化 on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Mon, 29 Jun 2026 13:48:16 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/%E8%A1%8C%E5%88%97%E6%BC%94%E7%AE%97-%E9%AB%98%E9%80%9F%E5%8C%96/index.xml" rel="self" type="application/rss+xml"/><item><title>CuPy NumPy互換の計算をGPUで100倍高速化する方法</title><link>https://ai.negi-lab.com/posts/cupy-numpy-gpu-acceleration-review/</link><pubDate>Mon, 29 Jun 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/cupy-numpy-gpu-acceleration-review/</guid><description>NumPyのコードを「import cupy as cp」に書き換えるだけで、行列演算をGPUで爆速化できる。PyTorchやTensorFlowに移行せ...</description></item></channel></rss>