{"blog_url":"https://cflat-inc.hatenablog.com/","type":"rich","version":"1.0","blog_title":"\u682a\u5f0f\u4f1a\u793eCFlat\u306e\u660e\u5f8c\u65e5\u30b9\u30bf\u30a4\u30eb\u306e\u30d6\u30ed\u30b0","title":"CUDA6.0\u7528\u306bCPU\u3068GPU\u306e\u901f\u5ea6\u6bd4\u8f03\u30b3\u30fc\u30c9\u3092\u4fee\u6b63","author_url":"https://blog.hatena.ne.jp/cflat-inc/","image_url":"http://ecx.images-amazon.com/images/I/51JVkMCuBDL.jpg","provider_name":"Hatena Blog","url":"https://cflat-inc.hatenablog.com/entry/2014/08/25/074553","width":"100%","height":"190","published":"2014-08-25 07:45:53","description":"\u4ee5\u524d\u306e\u8a18\u4e8b\u3067CUDA\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3059\u308b\u969b\u306b\u3001CPU\u3068GPU\u3092\u5207\u308a\u66ff\u3048\u308b\u65b9\u6cd5\u3092\u66f8\u3044\u305f\u306e\u3067\u3059\u304c\u3001 \u305d\u306e2\u65e5\u5f8c\u306bCUDA6.0\u304c\u6b63\u5f0f\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u3001Unified Memory\u3068\u3044\u3046 \u65b0\u3057\u3044\u30e1\u30e2\u30ea\u78ba\u4fdd\u306e\u4ed5\u7d44\u307f\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3057\u305f\u3002 \u30e1\u30e2\u30ea\u78ba\u4fdd\u304c\u7c21\u5358\u306b CUDA5.5\u307e\u3067\u306fCPU\u3068GPU\u306e\u4e21\u65b9\u306b\u30e1\u30e2\u30ea\u9818\u57df\u3092\u78ba\u4fdd\u3057\u3066\u3001\u305d\u308c\u305e\u308c\u306e\u30e1\u30e2\u30ea\u304b\u3089\u30e1\u30e2\u30ea\u3078\u30c7\u30fc\u30bf\u3092\u8ee2\u9001\u3059\u308b\u3068\u3044\u3046\u4f5c\u696d\u3092\u30e6\u30fc\u30b6\u30fc\u304c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3057\u305f\u3002 CUDA6.0\u304b\u3089\u306fCPU\u3068GPU\u3067\u4f7f\u7528\u3059\u308b\u30e1\u30e2\u30ea\u30921\u5909\u6570\u3067\u7ba1\u7406\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u5f53\u7136\u30c7\u30fc\u30bf\u3092\u8ee2\u9001\u3059\u308b\u95a2\u6570\u3092\u30e6\u30fc\u30b6\u30fc\u304c\u547c\u3076\u5fc5\u8981\u3082\u3042\u308a\u307e\u305b\u3093\u3002 \u3084\u308b\u3079\u304d\u3053\u3068\u306fGPU\u3067\u4f7f\u7528\u3059\u308b\u5909\u6570\u3092\u7528\u610f\u3057\u3066cudaMal\u2026","provider_url":"https://hatena.blog","author_name":"cflat-inc","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fcflat-inc.hatenablog.com%2Fentry%2F2014%2F08%2F25%2F074553\" title=\"CUDA6.0\u7528\u306bCPU\u3068GPU\u306e\u901f\u5ea6\u6bd4\u8f03\u30b3\u30fc\u30c9\u3092\u4fee\u6b63 - \u682a\u5f0f\u4f1a\u793eCFlat\u306e\u660e\u5f8c\u65e5\u30b9\u30bf\u30a4\u30eb\u306e\u30d6\u30ed\u30b0\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["CUDA"]}