{"image_url":"https://cdn.image.st-hatena.com/image/square/adad63b72f1d6545b2ba2538c3fc2923b2fd5989/backend=imagemagick;height=80;version=1;width=80/https%3A%2F%2Fcdn.blog.st-hatena.com%2Fimages%2Fcircle%2Fofficial-circle-icon%2Fcomputers.gif","provider_name":"Hatena Blog","author_name":"pyopyopyo","type":"rich","provider_url":"https://hatena.blog","title":"Linux\u306bCUDA\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\uff082024\u5e74\u7248\uff09","url":"https://pyopyopyo.hatenablog.com/entry/2024/02/05/190000","height":"190","published":"2024-02-05 19:00:00","categories":["CUDA","programming","Linux","GPU","GPGPU"],"blog_url":"https://pyopyopyo.hatenablog.com/","width":"100%","author_url":"https://blog.hatena.ne.jp/pyopyopyo/","blog_title":"pyopyopyo - Linux\u3068\u304b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u899a\u3048\u66f8\u304d - ","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fpyopyopyo.hatenablog.com%2Fentry%2F2024%2F02%2F05%2F190000\" title=\"Linux\u306bCUDA\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\uff082024\u5e74\u7248\uff09 - pyopyopyo - Linux\u3068\u304b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u899a\u3048\u66f8\u304d - \" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","description":"Linux\u306bCUDA\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u65b9\u6cd5\u3092\u307e\u3068\u3081\u307e\u3059\uff0e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3060\u3051\u3067\u306a\u304f\uff0c\u52d5\u4f5c\u78ba\u8a8d\u3068\u3057\u3066 SDK\uff0c\u958b\u767a\u74b0\u5883\u304c\u52d5\u4f5c\u3059\u308b\u3053\u3068 \u4f5c\u6210\u3057\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u5b9f\u884c\u3067\u304d\u308b\u3053\u3068 \u307e\u3067\u78ba\u8a8d\u3057\u307e\u3059 \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u624b\u9806 \u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306fNVIDIA\u306e\u30da\u30fc\u30b8\u306b\u66f8\u3044\u3066\u3042\u308b\u624b\u9806\u3092\u305d\u306e\u307e\u307e\u5b9f\u884c\u3059\u308b\u306e\u304c\u826f\u3044\u3067\u3059\uff0e\u4ee5\u524d\u306f\u30c7\u30a3\u30b9\u30c8\u30ea\u30d3\u30e5\u30fc\u30b7\u30e7\u30f3\u6bce\u306bCUDA\u306e\u72ec\u81ea\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u3042\u308a\uff0c\u30c7\u30a3\u30b9\u30c8\u30ea\u30d3\u30e5\u30fc\u30b7\u30e7\u30f3\u6bce\u306b\u72ec\u81ea\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u65b9\u6cd5\u304c\u5fc5\u8981\u3067\u3057\u305f\uff0e \u307e\u305f\u30c7\u30a3\u30b9\u30c8\u30ea\u30d3\u30e5\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u3063\u3066\u306f\u72ec\u81ea\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u66f4\u65b0\u304c\u9045\u304f\uff0c\u6700\u65b0\u306e\u30d1\u30c3\u30b1\u30fc\u30b8SDK\u304c\u4f7f\u3048\u306a\u3044\u3068\u3044\u3046\u554f\u984c\u3082\u3042\u308a\u307e\u3057\u305f\uff0e\u3057\u304b\u30572024\u5e74\u306e\u4eca\u3067\u306f\u72ec\u81ea\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u4f7f\u3046\u3088\u308a\u3082\uff0cNVI\u2026","version":"1.0"}