{"version":"1.0","type":"rich","description":"\u306f\u3058\u3081\u306b \u4eca\u5e745\u670822\u65e5\u306e\u7d9a\u304d vengineer.hatenablog.com ARM64\u5bfe\u5fdc NVIDIA\u306eGPU\u306f\u3001ARM64\u5bfe\u5fdc\u3055\u308c\u3066\u3044\u307e\u3059\u3002ARM64\u5bfe\u5fdc\u304c\u5206\u304b\u308b\u30b3\u30fc\u30c9\u306f\u3001\u3053\u3053 \u3067\u3059\u3002\u4e00\u90e8\u3001\u4ee5\u4e0b\u306b\u5f15\u7528\u3057\u307e\u3059\u3002 switch(AARCH64_VENDOR_PART_NUMBER(impl, part)) { case AARCH64_VENDOR_PART(NVIDIA, DENVER_1): pSys->cpuInfo.type = NV0000_CTRL_SYSTEM_CPU_TYPE_NV_DENVER_1_0; break; case AARCH64_VENDOR_PART(N\u2026","provider_url":"https://hatena.blog","author_url":"https://blog.hatena.ne.jp/Vengineer/","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fvengineer.hatenablog.com%2Fentry%2F2022%2F12%2F14%2F090000\" title=\"NVIDIA\u304cGPU\u306eKernel Modules\u3092\u516c\u958b\u3057\u305f\u306e\u3067\u3001\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u89e3\u6790\u3092\u3057\u3066\u307f\u308b(\u305d\u306e8) - Vengineer\u306e\u5984\u60f3\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","height":"190","url":"https://vengineer.hatenablog.com/entry/2022/12/14/090000","categories":[],"published":"2022-12-14 09:00:00","title":"NVIDIA\u304cGPU\u306eKernel Modules\u3092\u516c\u958b\u3057\u305f\u306e\u3067\u3001\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u89e3\u6790\u3092\u3057\u3066\u307f\u308b(\u305d\u306e8)","blog_title":"Vengineer\u306e\u5984\u60f3","image_url":null,"author_name":"Vengineer","blog_url":"https://vengineer.hatenablog.com/","provider_name":"Hatena Blog"}