{"url":"https://alcuin.hatenablog.com/entry/20121008/1349709759","blog_title":"Thinking out loud","height":"190","title":"GPGPU\u306e\u5165\u9580\u7528\u306e\u30ea\u30bd\u30fc\u30b9\u3002","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Falcuin.hatenablog.com%2Fentry%2F20121008%2F1349709759\" title=\"GPGPU\u306e\u5165\u9580\u7528\u306e\u30ea\u30bd\u30fc\u30b9\u3002 - Thinking out loud\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["\u6280\u8853","\u30c7\u30fc\u30bf\u5206\u6790"],"image_url":"http://ecx.images-amazon.com/images/I/51HZ5z6KL5L.jpg","type":"rich","published":"2012-10-08 00:22:39","provider_url":"https://hatena.blog","author_url":"https://blog.hatena.ne.jp/alcuin/","width":"100%","blog_url":"https://alcuin.hatenablog.com/","description":"GPU(\u3068\u3044\u3046\u304bCUDA)\u306e\u4f7f\u3044\u65b9\u306b\u95a2\u3057\u3066 Programming Massively Parallel Processors with CUDA - Stanford \u306e\u7121\u6599\u30b3\u30f3\u30c6\u30f3\u30c4\u3092 iTunes \u3067\u7121\u6599\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9 nVIDIA\u306e\u7814\u7a76\u6240\u306e\u4eba\u306eStanford\u3067\u306e\u8b1b\u7fa9\u306e\u52d5\u753b\u3002\u5185\u5bb9\u306f\u5b66\u751f\u5411\u3051\u3068\u8a00\u3046\u3060\u3051\u3042\u308a\u3001\u5206\u304b\u308a\u3084\u3059\u3044\u3002\uff08\u82f1\u8a9e\u3082\u805e\u304d\u53d6\u308a\u3084\u3059\u3044\u3002\uff09 iTunes\u306b\u3066\u30d5\u30ea\u30fc\u3067\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u3002 CUDA by Example \u6c4e\u7528GPU\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u5165\u9580\u4f5c\u8005: Jason Sanders,Edward Kandrot,\u682a\u5f0f\u4f1a\u793e\u30af\u30a4\u30fc\u30d7\u51fa\u7248\u793e/\u30e1\u30fc\u30ab\u30fc: \u30a4\u30f3\u30d7\u30ec\u30b9\u30b8\u30e3\u30d1\u30f3\u767a\u58f2\u65e5: 2011/02\u2026","provider_name":"Hatena Blog","version":"1.0","author_name":"alcuin"}