{"author_name":"miu4930","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftechblog.vpoint.co.jp%2Fentry%2F2021%2F10%2F27%2F134833\" title=\"GPU\u306b\u3064\u3044\u3066\u8abf\u3079\u305f\u3053\u3068 - V\u30dd\u30a4\u30f3\u30c8\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\uff5cTECH LAB\u306e Tech Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","published":"2021-10-27 13:48:33","title":"GPU\u306b\u3064\u3044\u3066\u8abf\u3079\u305f\u3053\u3068","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/m/miu4930/20211027/20211027114357.png","blog_title":"V\u30dd\u30a4\u30f3\u30c8\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\uff5cTECH LAB\u306e Tech Blog","provider_name":"Hatena Blog","version":"1.0","description":"\u3053\u3093\u306b\u3061\u306f\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u6240\u6280\u8853\u958b\u767a\u30e6\u30cb\u30c3\u30c8\u306e\u4e09\u6d66\u3067\u3059\u3002\u753b\u50cf\u89e3\u6790\u6a5f\u80fd\u3092\u3082\u3064\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3092\u958b\u767a\u3059\u308b\u969b\u3001\u5b9f\u884c\u74b0\u5883\u8981\u4ef6\u3068\u3057\u3066\u5fc5\u305a\u3068\u3044\u3063\u3066\u3044\u3044\u307b\u3069\u51fa\u3066\u304f\u308b\"GPU\"\u3002\u3057\u304b\u3057\u3001\u305d\u306e\u5b9f\u614b\u306b\u3064\u3044\u3066\u306f\u306a\u3093\u3068\u306a\u304f\u7406\u89e3\u3057\u3066\u3044\u308b\u7a0b\u5ea6\u306e\u30ec\u30d9\u30eb\u3067\u3059\u3002 GPU\u5468\u308a\u306b\u3064\u3044\u3066\u7406\u89e3\u3057\u6574\u7406\u3057\u3066\u304a\u304d\u3001\u30b5\u30fc\u30d0\u3084\u30a8\u30c3\u30b8\u3068\u3044\u3063\u305f\u69d8\u3005\u306a\u5b9f\u884c\u74b0\u5883\u306e\u5236\u7d04\u306b\u67d4\u8edf\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u305f\u3044\u3068\u8003\u3048\u3066\u3044\u307e\u3059\u3002\u5c11\u3057\u305a\u3064GPU\u5468\u308a\u306e\u6280\u8853\u306b\u3064\u3044\u3066\u8abf\u3079\u3066\u305d\u306e\u5185\u5bb9\u306b\u3064\u3044\u3066\u8a18\u4e8b\u306b\u6b8b\u3057\u3066\u3044\u304d\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 \u4eca\u56de\u306fCPU\u3068GPU\u306e\u69cb\u9020\u306e\u9055\u3044\u3001NVIDIA\u793e\u304c\u63d0\u4f9b\u3057\u3066\u3044\u308b\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0CUDA\u306b\u3064\u3044\u3066\u8abf\u3079\u305f\u5185\u5bb9\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002 CPU vs GP\u2026","width":"100%","height":"190","url":"https://techblog.vpoint.co.jp/entry/2021/10/27/134833","author_url":"https://blog.hatena.ne.jp/miu4930/","categories":["GPU","CUDA"],"type":"rich","blog_url":"https://techblog.vpoint.co.jp/"}