{"provider_url":"https://hatena.blog","author_name":"speco","blog_url":"https://speco.jp/","published":"2025-01-18 23:55:25","url":"https://speco.jp/entry/2025/01/18/235525","type":"rich","author_url":"https://blog.hatena.ne.jp/speco/","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/s/speco/20250118/20250118235339.jpg","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fspeco.jp%2Fentry%2F2025%2F01%2F18%2F235525\" title=\"CUDA\u3068\u306f - speco\u30e1\u30e2\" 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","description":"GPU\uff08\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30dc\u30fc\u30c9\uff09 CUDA\uff08Compute Unified Device Architecture\uff09\u306f\u3001NVIDIA\u304c\u958b\u767a\u3057\u305f\u6280\u8853\u3067\u3001GPU\u3092\u5229\u7528\u3057\u305f\u4e26\u5217\u8a08\u7b97\u3092\u5bb9\u6613\u306b\u3059\u308b\u305f\u3081\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u304a\u3088\u3073\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30e2\u30c7\u30eb\u3067\u3059\u3002CUDA\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u958b\u767a\u8005\u306fGPU\u306e\u591a\u6570\u306e\u30b3\u30a2\u3092\u52b9\u7387\u7684\u306b\u5229\u7528\u3057\u3066\u3001\u5927\u898f\u6a21\u306a\u8a08\u7b97\u3092\u9ad8\u901f\u306b\u51e6\u7406\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u4f8b\u3048\u3070\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u5206\u91ce\u3067\u306f\u3001\u5927\u91cf\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u3063\u3066\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u306f\u975e\u5e38\u306b\u8a08\u7b97\u8ca0\u8377\u304c\u9ad8\u304f\u3001CPU\u3060\u3051\u3067\u306f\u6642\u9593\u304c\u304b\u304b\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002\u3053\u3053\u3067\u3001CUDA\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001GPU\u306e\u4e26\u5217\u51e6\u7406\u80fd\u529b\u3092\u30d5\u2026","width":"100%","version":"1.0","title":"CUDA\u3068\u306f","provider_name":"Hatena Blog","categories":[],"blog_title":"speco\u30e1\u30e2"}