{"provider_name":"Hatena Blog","title":"CUDA\u3067\u30c6\u30af\u30b9\u30c1\u30e3","description":"\u524d\u56de\u306e\u8a18\u4e8b\u3067\u306f CUDA \u306e\u7dda\u5f62\u30e1\u30e2\u30ea\uff08Linear Memory, cudaMalloc() \u3067\u751f\u6210\uff09\u3092\u4f7f\u3063\u3066 FP16 \u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u5024\u3092\u683c\u7d0d\u3057\u307e\u3057\u305f\u3002 \u4eca\u56de\u306f CUDA \u306e Array \u3068 Texture \u3092\u4f7f\u3063\u3066\u30010x0000 ~ 0xFFFF \u306e\u7bc4\u56f2\u306e 16bit \u6574\u6570\u5024\uff08ushort\uff09\u3092\u6b63\u898f\u5316\u3057\u3066 0.0 ~ 1.0 \u306e\u7bc4\u56f2\u306e 32bit \u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u5024\uff08float\uff09\u3068\u3057\u3066\u53d6\u308a\u51fa\u3059\u3068\u3044\u3046\u3053\u3068\u3092\u3084\u3063\u3066\u307f\u307e\u3059\u3002\u305f\u3060\u3057\u4eca\u56de\u306f\u534a\u7cbe\u5ea6\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\uff08half\uff09\u578b\u306f\u4f7f\u3044\u307e\u305b\u3093\u3002 #include \"cuda_runtime.h\" #include \"device_launch_parameters\u2026","version":"1.0","url":"https://sygh.hatenadiary.jp/entry/2014/01/24/223542","author_name":"sygh","width":"100%","height":"190","blog_url":"https://sygh.hatenadiary.jp/","blog_title":"sygh\u306e\u65b0\u30d5\u30e9\u30b0\u30e1\u30f3\u30c8\u7f6e\u304d\u5834","provider_url":"https://hatena.blog","type":"rich","published":"2014-01-24 22:35:42","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fsygh.hatenadiary.jp%2Fentry%2F2014%2F01%2F24%2F223542\" title=\"CUDA\u3067\u30c6\u30af\u30b9\u30c1\u30e3 - sygh\u306e\u65b0\u30d5\u30e9\u30b0\u30e1\u30f3\u30c8\u7f6e\u304d\u5834\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","image_url":null,"categories":["\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0Tips","GPU","CUDA"],"author_url":"https://blog.hatena.ne.jp/sygh/"}