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NVIDIA cuTile Python 教程：在 Colab 中构建分块 GPU 内核

本教程介绍了 NVIDIA cuTile Python，一个基于分块的 GPU 编程接口，允许在 Python 中编写类 CUDA 的内核。教程在 Google Colab 环境中逐步实现向量加法、矩阵加法和矩阵乘法的分块内核，并包含 PyTorch 回退以确保可执行性。每个阶段都通过 PyTorch 验证正确性并基准测试中位运行时间。该教程适合希望学习 GPU 编程但不想深入 CUDA C++ 的 Python 开发者。

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想学 GPU 编程但被 CUDA C++ 劝退的 Python 开发者，这个教程让你直接在 Colab 里跑分块内核，还能对比 PyTorch 验证结果，值得动手试试。

8 sources58° AI heatLast updated 2026/6/9 08:37:48

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8 sources

Primary sourcemarktechpost

2026/6/9 08:37:48View source

Related source 1rohanpaul_ai

2026/6/8 01:00:29View source

Related source 2Thomas Wolf

2026/6/8 16:28:11View source

Related source 3Decoder

2026/6/8 17:31:50View source

Related source 4IT之家

2026/6/8 22:41:39View source

Related source 5PolymarketMoney

2026/6/9 19:58:09View source

Related source 6NVIDIA AI

2026/6/10 18:05:41View source

Related source 7Simon Willison’s Weblog

2026/6/10 20:00:54View source

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