{"author_url":"https://blog.hatena.ne.jp/optim-okumura/","url":"https://tech-blog.optim.co.jp/entry/2020/07/10/153000","version":"1.0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftech-blog.optim.co.jp%2Fentry%2F2020%2F07%2F10%2F153000\" title=\"CUDA \u3067\u4e00\u6642\u9818\u57df\u306e\u78ba\u4fdd\u30fb\u7834\u68c4\u3092\u56de\u907f\u3057\u3066\u901f\u5ea6\u4f4e\u4e0b\u3092\u9632\u3050 - OPTiM 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>","published":"2020-07-10 15:30:00","categories":["C / C++","CUDA","thrust"],"blog_url":"https://tech-blog.optim.co.jp/","type":"rich","height":"190","title":"CUDA \u3067\u4e00\u6642\u9818\u57df\u306e\u78ba\u4fdd\u30fb\u7834\u68c4\u3092\u56de\u907f\u3057\u3066\u901f\u5ea6\u4f4e\u4e0b\u3092\u9632\u3050","blog_title":"OPTiM TECH BLOG","provider_name":"Hatena Blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/o/optim-tech/20190129/20190129152613_original.jpg","description":"R&D \u30c1\u30fc\u30e0\u306e\u5965\u6751\uff08@izariuo440\uff09\u3067\u3059\u3002\u4eca\u5e74\u3082\u65b0\u5352\u304c CUDA \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u55dc\u3093\u3067\u3044\u305f\u3068\u3053\u308d\u3001\u601d\u3063\u305f\u3088\u308a\u901f\u5ea6\u304c\u51fa\u306a\u3044\u3068\u3044\u3046\u8a71\u3092\u805e\u3044\u305f\u306e\u3067\u300cCUDA \u3067\u4e00\u6642\u9818\u57df\u306e\u78ba\u4fdd\u30fb\u7834\u68c4\u3092\u56de\u907f\u3057\u3066\u901f\u5ea6\u4f4e\u4e0b\u3092\u9632\u3050\u300d\u3068\u3044\u3046\u5bfe\u7b56\u3092\u307e\u3068\u3081\u307e\u3057\u305f\u3002Happy CUDing! \u95a2\u9023\u8a18\u4e8b tech-blog.optim.co.jp tech-blog.optim.co.jp \u80cc\u666f\u3068\u52d5\u6a5f CUDA \u306e\u540c\u671f\u306b\u3064\u3044\u3066 \u6697\u9ed9\u7684\u306a\u30e1\u30e2\u30ea\u78ba\u4fdd\u30fb\u7834\u68c4\u3092\u56de\u907f\u3059\u308b \u30ab\u30b9\u30bf\u30e0\u30a2\u30ed\u30b1\u30fc\u30bf \u304a\u308f\u308a\u306b \u80cc\u666f\u3068\u52d5\u6a5f CUDA \u3067\u30bd\u30fc\u30c8\u3084\u6570\u3048\u4e0a\u3052\u306a\u3069\u306b\u4ee3\u8868\u3055\u308c\u308b reduction \u64cd\u4f5c\u3092\u5b9f\u884c\u3059\u308b\u3068\u304d\u3001\u4e00\u6642\u9818\u57df\u3092\u8981\u3059\u308b\u5834\u5408\u304c\u3042\u308a\u3001\u305d\u306e\u305f\u2026","provider_url":"https://hatena.blog","author_name":"optim-okumura","width":"100%"}