{"type":"rich","categories":["GPGPU","CUDA"],"blog_url":"https://ryamada22.hatenablog.jp/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fryamada22.hatenablog.jp%2Fentry%2F20091009%2F1255083882\" title=\"\u30d1\u30b9\u3067\u96e3\u822a - ryamada\u306e\u907a\u4f1d\u5b66\u30fb\u907a\u4f1d\u7d71\u8a08\u5b66\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","version":"1.0","height":"190","image_url":null,"provider_name":"Hatena Blog","author_name":"ryamada22","blog_title":"ryamada\u306e\u907a\u4f1d\u5b66\u30fb\u907a\u4f1d\u7d71\u8a08\u5b66\u30e1\u30e2","published":"2009-10-09 19:24:42","url":"https://ryamada22.hatenablog.jp/entry/20091009/1255083882","width":"100%","description":"\u307e\u305a\u3001\u30b5\u30f3\u30d7\u30eb\u304c\u52d5\u304f\u3053\u3068\u3092\u78ba\u8a8d\u3002 \"/home/ryamada/NVIDIA_CUDA_SDK/projects/matrixMul\"\u306b\u30b5\u30f3\u30d7\u30eb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u304c\u3042\u308b\u306e\u3067\u3001\u305d\u308c\u3092\u3084\u3063\u3066\u307f\u308b\u3002 \"/home/ryamada/NVIDIA_CUDA_SDK/bin/linux/release\"\u4ee5\u4e0b\u306b\"matrixMul\"\u3068\u3044\u3046\u5b9f\u884c\u53ef\u80fd\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u3063\u3066\u3001\u305d\u308c\u3092\u5b9f\u884c\u3067\u304d\u308c\u3070\u3088\u3044\u308f\u3051\u3067\u3042\u308b\u3002 ryamada@fugu release]$ ./matrixMul -bash: ./matrixMul: \u305d\u306e\u3088\u3046\u306a\u30d5\u30a1\u30a4\u30eb\u3084\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306f\u3042\u308a\u307e\u305b\u3093 >|| -\u307e\u305a\u306f\u3001\u305d\u306e\u3088\u3046\u306a\u5b9f\u884c\u53ef\u80fd\u30d5\u30a1\u30a4\u30eb\u304c\u306a\u3044\u3053\u3068\u3092\u78ba\u8a8d\u3002\u2026","title":"\u30d1\u30b9\u3067\u96e3\u822a","author_url":"https://blog.hatena.ne.jp/ryamada22/","provider_url":"https://hatena.blog"}