{"id":2929,"date":"2024-04-19T08:00:00","date_gmt":"2024-04-18T23:00:00","guid":{"rendered":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/?p=2929"},"modified":"2024-04-19T05:21:29","modified_gmt":"2024-04-18T20:21:29","slug":"solving-heterogeneous-programming-challenges-with-fortran-and-openmp","status":"publish","type":"post","link":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/2024\/04\/19\/solving-heterogeneous-programming-challenges-with-fortran-and-openmp\/","title":{"rendered":"Fortran \u3068 OpenMP* \u3067\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u8ab2\u984c\u3092\u89e3\u6c7a"},"content":{"rendered":"\n<hr class=\"wp-block-separator has-text-color has-cyan-bluish-gray-color has-alpha-channel-opacity has-cyan-bluish-gray-background-color has-background\"\/>\n\n\n\n<p>\u3053\u306e\u8a18\u4e8b\u306f\u3001\u30a4\u30f3\u30c6\u30eb<sup>\u00ae<\/sup>\u00a0\u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30be\u30fc\u30f3\u306b\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u300c<a href=\"https:\/\/community.intel.com\/t5\/Blogs\/Tech-Innovation\/Tools\/Solving-Heterogeneous-Programming-Challenges-with-Fortran-and\/post\/1569529\" target=\"_blank\" rel=\"noopener\" title=\"\">Solving Heterogeneous Programming Challenges with Fortran and OpenMP<\/a>\u300d\u306e\u65e5\u672c\u8a9e\u53c2\u8003\u8a33\u3067\u3059\u3002\u539f\u6587\u306f\u66f4\u65b0\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u539f\u6587\u3068\u7ffb\u8a33\u6587\u306e\u5185\u5bb9\u304c\u7570\u306a\u308b\u5834\u5408\u306f\u539f\u6587\u3092\u512a\u5148\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-cyan-bluish-gray-color has-alpha-channel-opacity has-cyan-bluish-gray-background-color has-background\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">\u306f\u3058\u3081\u306b<\/h3>\n\n\n\n<p>\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306f\u3001\u9577\u5e74\u306b\u308f\u305f\u3063\u3066\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30b5\u30a4\u30a8\u30f3\u30b9\u306e\u4e2d\u5fc3\u306b\u3042\u308a\u307e\u3057\u305f\u3002\u6700\u8fd1\u3067\u306f\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306e\u591a\u69d8\u5316\u3001\u30af\u30e9\u30a6\u30c9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u5b8c\u719f\u3057\u305f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3001\u304a\u3088\u3073 AI\/ML \u8a08\u7b97\u9700\u8981\u306e\u6307\u6570\u95a2\u6570\u7684\u306a\u5897\u52a0\u306e\u6ce2\u306b\u4e57\u308a\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u8a2d\u8a08\u306e\u5177\u4f53\u7684\u306a\u76ee\u7684\u3092\u5f8c\u62bc\u3057\u3059\u308b\u3053\u3068\u3067\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306f\u3088\u308a\u30df\u30c3\u30b7\u30e7\u30f3\u30fb\u30af\u30ea\u30c6\u30a3\u30ab\u30eb\u306b\u306a\u308a\u3001\u30d3\u30b8\u30cd\u30b9\u306e\u6210\u529f\u306e\u9375\u3092\u63e1\u3063\u3066\u3044\u307e\u3059\u3002\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3068\u3044\u3046\u65b0\u3057\u3044\u6280\u8853\u30c8\u30ec\u30f3\u30c9\u306b\u9069\u5fdc\u3059\u308b\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u7279\u6027\u3092\u6e80\u305f\u3059\u305f\u3081\u3001\u6700\u5148\u7aef\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u3001\u57fa\u672c\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3001\u30b3\u30fc\u30c9\u8a2d\u8a08\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig01.jpg\" alt=\"\" class=\"wp-image-2931\" width=\"840\" height=\"474\" srcset=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig01.jpg 939w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig01-300x169.jpg 300w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig01-768x433.jpg 768w\" sizes=\"auto, (max-width: 840px) 100vw, 840px\" \/><\/figure>\n\n\n\n<p>\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u7279\u6027\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u3055\u307e\u3056\u307e\u306a\u30d9\u30f3\u30c0\u30fc\u306e\u3055\u307e\u3056\u307e\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2 (CPU\u3001GPU\u3001FPGA \u306a\u3069) \u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u30db\u30b9\u30c8\u304a\u3088\u3073\u30c7\u30d0\u30a4\u30b9\u30e1\u30e2\u30ea\u30fc\u3001\u30c7\u30d0\u30a4\u30b9\u4e0a\u306e\u5404\u7a2e\u30e1\u30e2\u30ea\u30fc\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30fb\u30b9\u30b1\u30b8\u30e5\u30fc\u30e9\u30fc\u306b\u3088\u3063\u3066\u30ed\u30fc\u30c9\u3055\u308c\u305f\u5404\u7a2e\u30e1\u30e2\u30ea\u30fc\u30a4\u30e1\u30fc\u30b8\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u30e1\u30e2\u30ea\u30fc\u30e2\u30c7\u30eb\u3092\u8a8d\u8b58\u3057\u3066\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u975e\u5de1\u56de\u30b0\u30e9\u30d5\u306e\u5b9f\u884c\u9806\u5e8f\u3067\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/li>\n\n\n\n<li>\u4ed6\u306e\u78ba\u7acb\u3055\u308c\u305f\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u306e\u65e2\u5b58\u306e API \u3067\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3067\u304d\u3001\u4ed6\u306e\u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u30fb\u30ab\u30fc\u30cd\u30eb\u3068\u76f8\u4e92\u904b\u7528\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">\u30ab\u30fc\u30cd\u30eb\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3068\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30d9\u30fc\u30b9\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0<\/h3>\n\n\n\n<p>\u79d1\u5b66\u3001\u7814\u7a76\u3001\u5de5\u5b66\u5206\u91ce\u306e\u30cf\u30a4\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3044\u3066\u3001\u6700\u3082\u91cd\u8981\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u57fa\u672c\u8a00\u8a9e\u306f C\/C++ \u3068 Fortran \u3067\u3059\u3002C\/C++ \u306f\u6700\u3082\u30dd\u30d4\u30e5\u30e9\u30fc\u306a\u9078\u629e\u80a2\u3067\u3059\u3002Fortran \u306f\u6700\u3082\u53e4\u3044\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u3001\u4eca\u3067\u3082\u9bae\u3084\u304b\u306b\u9032\u5316\u3057\u3066\u304a\u308a\u3001\u30df\u30c3\u30b7\u30e7\u30f3\u30fb\u30af\u30ea\u30c6\u30a3\u30ab\u30eb\u3067\u975e\u5e38\u306b\u6d17\u7df4\u3055\u308c\u305f\u5de8\u5927\u306a\u30b3\u30fc\u30c9\u30d9\u30fc\u30b9\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002Fortran \u30d9\u30fc\u30b9\u306e\u8a00\u8a9e\u306f\u3001\u6642\u4ee3\u3068\u3068\u3082\u306b\u7d76\u3048\u305a\u9032\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u6700\u65b0\u306e Fortran \u306f\u3001\u7279\u306b\u6570\u5024\u8a08\u7b97\u3084\u79d1\u5b66\u8a08\u7b97\u306b\u9069\u3057\u305f\u3001\u6c4e\u7528\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u6e08\u307f\u547d\u4ee4\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u9032\u6b69\u306b\u3088\u308a\u3001\u57fa\u672c\u8a00\u8a9e\u306e\u30d1\u30e9\u30c0\u30a4\u30e0\u306f\u5e38\u306b\u518d\u69cb\u7bc9\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u3057\u3066\u4e00\u822c\u7684\u306a\u30d7\u30ed\u30b0\u30e9\u30de\u30fc\u306b\u6700\u3082\u4eba\u6c17\u304c\u3042\u308b\u306e\u306f\u3001<strong>\u30ab\u30fc\u30cd\u30eb\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3068\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30d9\u30fc\u30b9\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0<\/strong>\u306e 2 \u3064\u3067\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"999\" height=\"562\" src=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig02.jpg\" alt=\"\" class=\"wp-image-2932\" srcset=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig02.jpg 999w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig02-300x169.jpg 300w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig02-768x432.jpg 768w, https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-content\/uploads\/sites\/5\/2024\/04\/ai-blog-solving-hpc-challenges-fig02-678x381.jpg 678w\" sizes=\"auto, (max-width: 999px) 100vw, 999px\" \/><\/figure>\n\n\n\n<p><strong>\u30ab\u30fc\u30cd\u30eb\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0<\/strong>\u306f\u901a\u5e38\u3001\u57fa\u672c\u8a00\u8a9e\u62e1\u5f35\u306b\u3088\u3063\u3066\u5b9f\u88c5\u3055\u308c\u307e\u3059\u3002\u30bf\u30fc\u30b2\u30c3\u30c8\u30fb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u4e0a\u3067\u3069\u306e\u3088\u3046\u306b\u8a08\u7b97\u3092\u884c\u3046\u304b\u306f\u3001\u30d7\u30ed\u30b0\u30e9\u30de\u30fc\u306b\u4efb\u305b\u3089\u308c\u3066\u3044\u307e\u3059\u3002C\/C++ \u3067\u306f\u3001CUDA*\u3001SYCL*\u3001OpenCL* \u306a\u3069\u304c\u4f7f\u7528\u3055\u308b\u3053\u3068\u304c\u591a\u3044\u3067\u3059\u3002SYCL* \u3084\u305d\u306e\u4ed6\u306e\u6307\u793a\u6587\u306b\u3088\u308b\u4e26\u5217\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u3064\u3044\u3066\u306f\u3001<strong><a href=\"https:\/\/www.isus.jp\/products\/oneapi\/solving-heterogeneous-programming-challenges-with-sycl\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u5225\u306e\u8ad6\u6587<\/a><\/strong>\u3067\u3082\u8aac\u660e\u3055\u308c\u3066\u3044\u307e\u3059\u3002Fortran \u5411\u3051\u306e\u4e00\u822c\u7684\u306a\u30ab\u30fc\u30cd\u30eb\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30fb\u30e2\u30c7\u30eb\u306f\u3042\u308a\u307e\u305b\u3093\u3002Fortran \u30d7\u30ed\u30b0\u30e9\u30de\u30fc\u306f\u3001C\/C++ \u30b3\u30fc\u30c9\u3092\u547c\u3073\u51fa\u3057\u3066\u3001GPU \u4e0a\u3067\u5b9f\u884c\u3059\u308b CUDA*\/SYCL*\/OpenCL* \u30ab\u30fc\u30cd\u30eb\u3092\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u3082\u3046 1 \u3064\u306e\u91cd\u8981\u306a\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306f\u3001<strong>\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0<\/strong>\u3067\u3059\u3002\u7279\u5b9a\u306e\u30bf\u30fc\u30b2\u30c3\u30c8\u30fb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u7528\u306e\u30b3\u30fc\u30c9\u30ab\u30fc\u30cd\u30eb\u3092\u751f\u6210\u3059\u308b\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u56fa\u6709\u306e\u8a00\u8a9e\u62e1\u5f35\u3067\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3059\u308b\u5834\u5408\u3068\u6bd4\u8f03\u3057\u3066\u3001\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306f\u3001\u300c\u5358\u4e00\u306e\u30b3\u30fc\u30c9\u30dc\u30c7\u30a3\u30fc\u300d\u3068\u3044\u3046\u7279\u5fb4\u304c\u3042\u308a\u307e\u3059\u3002\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306f\u30011 \u3064\u306e\u30bd\u30fc\u30b9\u30b3\u30fc\u30c9\u304c\u3001\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30bf\u30fc\u306e\u6709\u7121\u306b\u95a2\u4fc2\u306a\u304f\u8907\u6570\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u52d5\u4f5c\u3059\u308b\u3053\u3068\u3092\u4eee\u5b9a\u3057\u307e\u3059\u3002\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u304c\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u3092\u7406\u89e3\u3067\u304d\u306a\u304b\u3063\u305f\u308a\u3001\u30b3\u30fc\u30c9\u306e\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u51e6\u7406\u3092\u30aa\u30d5\u306b\u3057\u305f\u5834\u5408\u3001\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u306f\u7121\u8996\u3055\u308c\u307e\u3059\u3002\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30d9\u30fc\u30b9\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u6a19\u6e96\u3068\u3057\u3066\u6700\u3082\u3088\u304f\u77e5\u3089\u308c\u3066\u3044\u308b\u306e\u306f\u3001<strong>OpenACC<\/strong>\u00a0\u3068\u00a0<strong>OpenMP*<\/strong>\u00a0\u306e 2 \u3064\u3067\u3059\u3002OpenMP* \u306b\u6bd4\u3079\u308b\u3068\u6b74\u53f2\u306f\u6d45\u3044\u3082\u306e\u306e\u3001Cray\u3001CAPS\u3001NVIDIA\u3001PGI \u306b\u3088\u3063\u3066\u958b\u767a\u3055\u308c\u305f OpenACC \u306f\u3001CPU\u3001GPU\u3001\u304a\u3088\u3073\u3055\u307e\u3056\u307e\u306a\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30bf\u30fc\u306b\u5bfe\u5fdc\u3057\u305f\u3001\u30cf\u30a4\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u5411\u3051\u306e\u4e16\u754c\u521d\u306e\u9ad8\u30ec\u30d9\u30eb\u306e\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30d9\u30fc\u30b9\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30fb\u30e2\u30c7\u30eb\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u8ab2\u984c<\/h3>\n\n\n\n<p>\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u4e3b\u306a\u5bfe\u8c61\u306f\u30c9\u30e1\u30a4\u30f3\u30fb\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3067\u3042\u308a\u3001\u305d\u306e\u591a\u304f\u306f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u30b3\u30fc\u30c9\u3067\u8868\u73fe\u3059\u308b\u7a0b\u5ea6\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3057\u304b\u5b66\u3093\u3067\u3044\u307e\u305b\u3093\u3002\u591a\u304f\u306e\u5834\u5408\u3001\u3053\u308c\u3089\u306e\u958b\u767a\u8005\u306f\u3001CUDA*\/SYCL*\/OpenCL* \u306a\u3069\u306e\u30ab\u30fc\u30cd\u30eb\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30fb\u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3066\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u660e\u793a\u7684\u306b\u4e26\u5217\u5316\u3059\u308b\u306e\u306b\u5fc5\u8981\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30fb\u30b9\u30ad\u30eb\u3084\u6642\u9593\u304c\u3042\u308a\u307e\u305b\u3093\u3002\u958b\u767a\u8005\u3067\u3042\u308b\u30c9\u30e1\u30a4\u30f3\u30fb\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306f\u3001\u30b3\u30fc\u30c9\u5185\u306e\u4e26\u5217\u51e6\u7406\u3092\u8868\u73fe\u3059\u308b\u8a18\u8ff0\u30b9\u30bf\u30a4\u30eb\u3001\u4f8b\u3048\u3070\u3001\u30eb\u30fc\u30d7\u69cb\u9020\u306f\u4e26\u5217\u51e6\u7406\u306e\u5bfe\u8c61\u3067\u3042\u308b\u3001\u884c\u5217\u306f\u5165\u529b\u3068\u3057\u3066\u306e\u307f\u4f7f\u7528\u3055\u308c\u3001\u51fa\u529b\u7528\u306b\u8ee2\u9001\u3059\u308b\u5fc5\u8981\u306f\u306a\u3044\u3001\u4e00\u90e8\u306e\u95a2\u6570\u547c\u3073\u51fa\u3057\u306f\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u306e\u307f\u547c\u3073\u51fa\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3001\u306a\u3069\u306b\u5bb9\u6613\u306b\u9069\u5fdc\u3067\u304d\u307e\u3059\u3002OpenMP* \u306b\u3088\u308a\u3001\u3053\u308c\u3089\u306e\u30e6\u30fc\u30b6\u30fc\u306f\u3001\u30eb\u30fc\u30d7\u3068\u914d\u5217\u3068\u3044\u3046\u99b4\u67d3\u307f\u306e\u3042\u308b\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u30fb\u30b9\u30bf\u30a4\u30eb\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u3001\u30c7\u30d0\u30a4\u30b9\u3068\u30db\u30b9\u30c8\u306e\u914d\u5217\u304c\u4e0d\u8981\u306b\u306a\u308b\u3088\u3046\u306b\u30c7\u30fc\u30bf\u7ba1\u7406\u3092\u7c21\u7d20\u5316\u3057\u3001\u30eb\u30fc\u30d7\u3092 GPU \u30ab\u30fc\u30cd\u30eb\u306b\u81ea\u52d5\u7684\u306b\u5909\u63db\u3059\u308b\u3053\u3068\u3067\u3001\u6700\u65b0\u306e GPU \u3067\u30b3\u30fc\u30c9\u3092\u9ad8\u901f\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u65e2\u5b58\u306e\u30b3\u30fc\u30c9\u30d0\u30ea\u30a2\u30f3\u30c8\u306f\u3001\u5229\u7528\u53ef\u80fd\u306a\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30bf\u30fc\u30fb\u30c7\u30d0\u30a4\u30b9\u306b\u30c7\u30a3\u30b9\u30d1\u30c3\u30c1\u3067\u304d\u307e\u3059\u3002OpenMP* \u306f\u3001\u591a\u304f\u306e\u5834\u5408\u3001\u65b0\u898f\u30e6\u30fc\u30b6\u30fc\u3084\u30c9\u30e1\u30a4\u30f3\u30fb\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306b\u3068\u3063\u3066\u7fd2\u5f97\u304c\u3088\u308a\u7c21\u5358\u3067\u3059\u3002\u4e00\u65b9\u3001\u958b\u767a\u30c4\u30fc\u30eb\u30d9\u30f3\u30c0\u30fc\u306f\u3001\u3088\u308a\u8907\u96d1\u306a\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u3092\u51e6\u7406\u3057\u3066\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30bf\u30fc\u306e\u6f5c\u5728\u80fd\u529b\u3092\u6700\u5927\u9650\u306b\u5f15\u304d\u51fa\u3059\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u3092\u958b\u767a\u3059\u308b\u305f\u3081\u5354\u529b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b Fortran + OpenMP* \u30aa\u30d5\u30ed\u30fc\u30c9\u306e\u4ed5\u7d44\u307f<\/h4>\n\n\n\n<p>Fortran + OpenMP* \u30aa\u30d5\u30ed\u30fc\u30c9\u304c\u3001\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b\u6b21\u306e 3 \u3064\u306e\u8ab2\u984c\u3092\u3069\u306e\u3088\u3046\u306b\u89e3\u6c7a\u3059\u308b\u304b\u3092\u4f8b\u3092\u6319\u3052\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u30aa\u30d5\u30ed\u30fc\u30c9<\/li>\n\n\n\n<li>\u30e1\u30e2\u30ea\u30fc\u7ba1\u7406<\/li>\n\n\n\n<li>\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u306e\u65e2\u5b58 API \u306e\u547c\u3073\u51fa\u3057\u3053\u3053\u3067\u306f\u3001Fortran \u3068 OpenMP* \u306e\u57fa\u672c\u77e5\u8b58\u304c\u3042\u308b\u3053\u3068\u3092\u524d\u63d0\u3068\u3057\u3066\u3044\u307e\u3059\u3002\u30b3\u30fc\u30c9\u30b9\u30cb\u30da\u30c3\u30c8\u306f\u30b3\u30f3\u30d1\u30a4\u30eb\u7528\u306e\u5b8c\u5168\u306a\u30b3\u30fc\u30c9\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u8981\u70b9\u3092\u7c21\u6f54\u306b\u793a\u3059\u305f\u3081\u3001\u5909\u6570\u306e\u5ba3\u8a00\/\u521d\u671f\u5316\u306f\u7701\u7565\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30b3\u30fc\u30c9\u4f8b\u306e\u5b8c\u5168\u7248\u306f\u3001\u300c<strong><a href=\"https:\/\/www.openmp.org\/wp-content\/uploads\/openmp-examples-5.1.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">OpenMP* \u516c\u5f0f\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9\u30fb\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/strong>\u300d (\u82f1\u8a9e) \u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306e\u8aac\u660e<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">\u30aa\u30d5\u30ed\u30fc\u30c9<\/h4>\n\n\n\n<p>\u6700\u521d\u306b\u3001GPU \u3078\u306e\u30aa\u30d5\u30ed\u30fc\u30c9\u306e\u4f8b\u304b\u3089\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n<p><strong>\u6700\u521d\u306e\u4f8b<\/strong>\u306f\u3001\u30c7\u30fc\u30bf\u79fb\u52d5\u3092\u8003\u616e\u3057\u3066\u3044\u307e\u3059\u3002target \u69cb\u6587\u306f\u3001\u30b3\u30fc\u30c9\u9818\u57df\u3092\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30d0\u30a4\u30b9\u306b\u30aa\u30d5\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002\u5909\u6570 p\u3001v1\u3001v2 \u306f\u3001map \u7bc0\u3092\u4f7f\u7528\u3057\u3066\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30d0\u30a4\u30b9\u306b\u660e\u793a\u7684\u306b\u30de\u30c3\u30d7\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5909\u6570 N \u306f\u3001\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30d0\u30a4\u30b9\u306b\u6697\u9ed9\u7684\u306b\u30de\u30c3\u30d7\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">!$omp target map(v1,v2,p)\n!$omp parallel do\ndo i=1,N\np(i) = v1(i) * v2(i)\nend do\n!$omp end target<\/pre>\n\n\n\n<p>\u3053\u308c\u306f\u5358\u7d14\u306a\u30b9\u30ab\u30e9\u30fc\u30c7\u30fc\u30bf\u79fb\u52d5\u3067\u3059\u3002\u30dd\u30a4\u30f3\u30bf\u30fc\u3001\u69cb\u9020\u4f53 (\u96c6\u5408\u4f53)\u3001\u5272\u4ed8\u3051\u914d\u5217\u3001\u30de\u30c3\u30d4\u30f3\u30b0\u30e1\u30ab\u30cb\u30ba\u30e0\u306f\u9ad8\u5ea6\u306a\u30c8\u30d4\u30c3\u30af\u3067\u3042\u308b\u305f\u3081\u3001\u3053\u3053\u3067\u306f\u53d6\u308a\u4e0a\u3052\u307e\u305b\u3093\u3002<\/p>\n\n\n\n<p><strong>2 \u3064\u76ee\u306e\u4f8b<\/strong>\u306f\u3001target teams \u69cb\u6587\u3068 distribute parallel do \u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066 target teams \u9818\u57df\u3067\u30eb\u30fc\u30d7\u3092\u5b9f\u884c\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u307e\u3059\u3002target teams \u69cb\u6587\u306f\u3001\u30c1\u30fc\u30e0\u306e\u30ea\u30fc\u30b0\u3092\u4f5c\u6210\u3057\u3001\u5404\u30c1\u30fc\u30e0\u306e\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u304c teams \u9818\u57df\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30c1\u30fc\u30e0\u9818\u57df\u3092\u5b9f\u884c\u3059\u308b\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u3054\u3068\u306b\u3001teams \u69cb\u6587\u306e reduction \u7bc0\u306b\u3088\u3063\u3066\u5909\u6570 sum \u306e\u30d7\u30e9\u30a4\u30d9\u30fc\u30c8\u30fb\u30b3\u30d4\u30fc\u304c\u4f5c\u6210\u3055\u308c\u307e\u3059\u3002\u30c1\u30fc\u30e0\u5185\u306e\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u3068\u3059\u3079\u3066\u306e\u30b9\u30ec\u30c3\u30c9\u306f\u3001parallel do \u69cb\u6587\u306e reduction \u7bc0\u306b\u3088\u3063\u3066\u4f5c\u6210\u3055\u308c\u305f\u5909\u6570 sum \u306e\u30d7\u30e9\u30a4\u30d9\u30fc\u30c8\u30fb\u30b3\u30d4\u30fc\u3092\u6301\u3061\u307e\u3059\u3002sum \u5909\u6570\u306e 2 \u3064\u76ee\u306e\u30d7\u30e9\u30a4\u30d9\u30fc\u30c8\u30fb\u30b3\u30d4\u30fc\u306f\u3001teams \u69cb\u6587\u306b\u3088\u3063\u3066\u4f5c\u6210\u3055\u308c\u305f\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u306e sum \u5909\u6570\u306e\u30d7\u30e9\u30a4\u30d9\u30fc\u30c8\u30fb\u30b3\u30d4\u30fc\u306b\u30ec\u30c7\u30e5\u30fc\u30b9\u3055\u308c\u307e\u3059\u3002teams \u9818\u57df\u306e\u7d42\u4e86\u6642\u306b\u3001\u5404\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u306e sum \u5909\u6570\u306e\u30d7\u30e9\u30a4\u30d9\u30fc\u30c8\u30fb\u30b3\u30d4\u30fc\u306f\u3001\u6700\u7d42\u306e sum \u5909\u6570\u306b\u30ec\u30c7\u30e5\u30fc\u30b9\u3055\u308c\u3001target \u9818\u57df\u306b\u6697\u9ed9\u7684\u306b\u30de\u30c3\u30d7\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n<p>\u30ea\u30fc\u30b0\u5185\u306e\u30c1\u30fc\u30e0\u306e\u6570\u306f\u5909\u6570 num_blocks \u306e\u5024\u4ee5\u4e0b\u306b\u3001\u30ea\u30fc\u30b0\u5185\u306e\u5404\u30c1\u30fc\u30e0\u306e\u30b9\u30ec\u30c3\u30c9\u6570\u306f\u5909\u6570 block_threads \u306e\u5024\u4ee5\u4e0b\u306b\u306a\u308a\u307e\u3059\u3002\u5916\u5074\u306e\u30eb\u30fc\u30d7\u306e\u53cd\u5fa9\u306f\u3001\u5404\u30c1\u30fc\u30e0\u306e\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u306b\u5206\u914d\u3055\u308c\u307e\u3059\u3002\u30c1\u30fc\u30e0\u306e\u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u30fb\u30b9\u30ec\u30c3\u30c9\u304c\u5185\u5074\u306e\u30eb\u30fc\u30d7\u3088\u308a\u3082\u5148\u306b distribute parallel do \u69cb\u6587\u3092\u691c\u51fa\u3059\u308b\u3068\u3001\u30c1\u30fc\u30e0\u5185\u306e\u307b\u304b\u306e\u30b9\u30ec\u30c3\u30c9\u304c\u30a2\u30af\u30c6\u30a3\u30d6\u306b\u306a\u308a\u3001\u30c1\u30fc\u30e0\u306f\u4e26\u5217\u9818\u57df\u3092\u5b9f\u884c\u3057\u3001\u30eb\u30fc\u30d7\u306e\u5b9f\u884c\u3092\u5206\u62c5\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">!$omp target map(to: B, C) map(tofrom: sum)\n!$omp teams num_teams(num_teams) thread_limit(block_threads) reduction(+:sum)\n!$omp distribute\n  do i0=1,N, block_size\n    !$omp parallel do reduction(+:sum)\n    do i = i0, min(i0+block_size,N)\n      sum = sum + B(i) * C(i)\n    end do\n  end do\n!$omp end teams\n!$omp end target<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u30e1\u30e2\u30ea\u30fc\u7ba1\u7406<\/h3>\n\n\n\n<p>\u6b21\u306b\u3001OpenMP* \u3092\u4f7f\u7528\u3057\u3066\u3001\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b7\u30b9\u30c6\u30e0\u3067\u30e1\u30e2\u30ea\u30fc\u3092\u7ba1\u7406\u3059\u308b\u4f8b\u3092\u898b\u3066\u307f\u307e\u3057\u3087\u3046\u3002target data \u69cb\u6587\u306f\u3001\u914d\u5217 v1 \u3068 v2 \u3092\u30c7\u30d0\u30a4\u30b9\u30c7\u30fc\u30bf\u74b0\u5883\u306b\u30de\u30c3\u30d7\u3057\u307e\u3059\u3002\u30db\u30b9\u30c8\u30c7\u30d0\u30a4\u30b9\u3067\u5b9f\u884c\u3059\u308b\u30bf\u30b9\u30af\u306f\u3001\u6700\u521d\u306e target \u9818\u57df\u306b\u5230\u9054\u3057\u3001\u9818\u57df\u306e\u5b9f\u884c\u304c\u5b8c\u4e86\u3059\u308b\u307e\u3067\u5f85\u6a5f\u3057\u307e\u3059\u3002\u6700\u521d\u306e target \u9818\u57df\u306e\u5b9f\u884c\u5f8c\u3001\u30db\u30b9\u30c8\u30c7\u30d0\u30a4\u30b9\u3067\u5b9f\u884c\u3059\u308b\u30bf\u30b9\u30af\u306f\u3001\u95a2\u6570 init_again_on_host() \u3092\u547c\u3073\u51fa\u3057\u3066\u3001\u30bf\u30b9\u30af\u30c7\u30fc\u30bf\u74b0\u5883\u306e v1 \u3068 v2 \u306b\u65b0\u3057\u3044\u5024\u3092\u4ee3\u5165\u3057\u307e\u3059\u3002target update \u69cb\u6587\u306f\u30012 \u3064\u76ee\u306e target \u9818\u57df\u3092\u5b9f\u884c\u3059\u308b\u524d\u306b\u3001\u30bf\u30b9\u30af\u30c7\u30fc\u30bf\u74b0\u5883\u304b\u3089 v1 \u3068 v2 \u306e\u65b0\u3057\u3044\u5024\u3092\u3001target data \u69cb\u6587\u306e\u30c7\u30d0\u30a4\u30b9\u30c7\u30fc\u30bf\u74b0\u5883\u5185\u306e\u5bfe\u5fdc\u3059\u308b\u30de\u30c3\u30d7\u3055\u308c\u305f\u914d\u5217\u8981\u7d20\u306b\u5272\u308a\u5f53\u3066\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">!$omp target data map(to: v1, v2) map(from: p)\n!$omp target\n!$omp parallel do\n  do i=1,N\n    p(i) = v1(i) * v2(i)\n  end do\n!$omp end target\ncall init_again_on_host(v1, v2, N)\n!$omp target update to(v1, v2)\n!$omp target\n!$omp parallel do\n  do i=1,N\n    p(i) = p(i) + v1(i) * v2(i)\n  end do\n!$omp end target\n!$omp end target data<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u306e\u65e2\u5b58 API \u306e\u547c\u3073\u51fa\u3057<\/h3>\n\n\n\n<p>\u4ee5\u4e0b\u306e\u4f8b\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u306b\u3088\u308b\u62e1\u5f35\u306e\u5b9f\u88c5\u3067\u3042\u308a\u3001\u73fe\u5728\u306f\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc (ifx) \u3067\u306e\u307f\u5229\u7528\u53ef\u80fd\u3067\u3059\u3002target variant dispatch \u69cb\u6587\u306f\u30a4\u30f3\u30c6\u30eb\u306b\u3088\u308b\u62e1\u5f35\u3067\u3001\u3053\u306e\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u306b\u7d9a\u304f\u30b5\u30d6\u30eb\u30fc\u30c1\u30f3\u3084\u95a2\u6570\u306e\u547c\u3073\u51fa\u3057\u306b\u5bfe\u3057\u3066\u3001\u6761\u4ef6\u4ed8\u304d\u30c7\u30a3\u30b9\u30d1\u30c3\u30c1\u30fb\u30b3\u30fc\u30c9\u3092\u767a\u884c\u3059\u308b\u3088\u3046\u306b\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u306b\u6307\u793a\u3057\u307e\u3059\u3002\u30c7\u30d5\u30a9\u30eb\u30c8\u306e\u30c7\u30d0\u30a4\u30b9\u304c\u5229\u7528\u53ef\u80fd\u306a\u5834\u5408\u3001\u30d0\u30ea\u30a2\u30f3\u30c8\u30d0\u30fc\u30b8\u30e7\u30f3\u304c\u547c\u3073\u51fa\u3055\u308c\u307e\u3059\u3002\u6b21\u306e\u4f8b\u306f\u3001target variant dispatch \u69cb\u6587\u3092\u4f7f\u7528\u3057\u3066\u3001MKL dgemm \u306e\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30d0\u30a4\u30b9\u7528\u306e\u30d0\u30ea\u30a2\u30f3\u30c8\u3092\u547c\u3073\u51fa\u3059\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">include \"mkl_omp_offload.f90\"\nprogram main\nuse mkl_blas_omp_offload\ninteger :: m = 10, n = 6, k = 8, lda = 12, ldb = 8, ldc = 10\ninteger :: sizea = lda * k, sizeb = ldb * n, sizec = ldc * n\ndouble :: alpha = 1.0, beta = 0.0\ndouble, allocatable :: A(:), B(:), C(:)\nallocate(A(sizea)) ! Allocate matrices\u2026\n\u2026\n! Initialize matrices\u2026\n\u2026\n!$omp target data map(to:A(1:sizea), B(1:sizeb)) map(tofrom:C(1:sizec))\n!$omp target variant dispatch use_device_ptr(A, B, C) \n  call dgemm(\u2018N\u2019, \u2018N\u2019, m, n, k, alpha, A, lda, B, ldb, beta, C, ldc) ! Compute C = A * B on GPU\n!$omp end target variant dispatch\n!$omp end target data<\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">OpenMP* \u5b9f\u88c5<\/h3>\n\n\n\n<p>OpenMP* \u306f\u3001\u6570\u5c11\u306a\u3044\u4eba\u6c17\u306e\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30fb\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306e 1 \u3064\u3068\u3057\u3066\u3001\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30fc\u306e\u591a\u5927\u306a\u52aa\u529b\u304c\u7d50\u96c6\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u5927\u5e45\u306a\u6539\u826f\u3068\u65b0\u3057\u3044\u30a2\u30a4\u30c7\u30a2\u3092\u7d44\u307f\u8fbc\u3093\u3060\u65b0\u3057\u3044\u4ed5\u69d8\u304c\u3001\u826f\u3044\u30da\u30fc\u30b9\u3067\u767a\u8868\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p>AOMP \u306f\u3001OpenMP* \u3068\u8907\u6570\u306e GPU \u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30b7\u30e7\u30f3\u30fb\u30bf\u30fc\u30b2\u30c3\u30c8 (\u30de\u30eb\u30c1\u30bf\u30fc\u30b2\u30c3\u30c8) \u3078\u306e\u30aa\u30d5\u30ed\u30fc\u30c9\u3092\u30b5\u30dd\u30fc\u30c8\u3059\u308b AMD \u306e LLVM\/Clang \u30d9\u30fc\u30b9\u306e\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u3067\u3059\u3002\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc (ifx) \u306f\u3001\u904b\u7528\u74b0\u5883\u306e CPU \u3068 GPU \u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002ifx \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u30fb\u30af\u30e9\u30b7\u30c3\u30af (ifort) \u306e\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u3068\u30e9\u30f3\u30bf\u30a4\u30e0\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u3092\u30d9\u30fc\u30b9\u306b\u3057\u3066\u3044\u307e\u3059\u304c\u3001LLVM \u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u30fb\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u30fb\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3092\u63a1\u7528\u3057\u3066\u3044\u307e\u3059\u3002NVIDIA* HPC \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u306f\u3001\u3059\u3079\u3066\u306e\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u30de\u30eb\u30c1\u30b3\u30a2 CPU \u5411\u3051\u306b OpenMP* \u3092\u6709\u52b9\u306b\u3057\u3001NVIDIA* GPU \u3078\u306e\u30bf\u30fc\u30b2\u30c3\u30c8\u30aa\u30d5\u30ed\u30fc\u30c9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002ARM\u3001Flang\u3001GNU\u3001HPE\u3001IBM\u3001LLVM\u3001Microsoft\u3001Oracle \u306a\u3069\u306e\u4ed6\u306e\u30d9\u30f3\u30c0\u30fc\u3082\u3001\u81ea\u793e\u306e\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u88fd\u54c1\u3067\u5805\u7262\u306a\u5b9f\u88c5\u3092\u7a4d\u6975\u7684\u306b\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">IFX<\/h3>\n\n\n\n<p>\u30a4\u30f3\u30c6\u30eb \u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc (ifx) \u306f\u3001Fortran \u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u30fc\u306b\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u5b9f\u88c5\u3092\u63d0\u4f9b\u3059\u308b\u6700\u65b0\u306e\u30a4\u30f3\u30c6\u30eb\u88fd\u54c1\u3067\u3059\u3002\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u30fb\u30af\u30e9\u30b7\u30c3\u30af (ifort) \u306e\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u3068\u30e9\u30f3\u30bf\u30a4\u30e0\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u3092\u30d9\u30fc\u30b9\u306b\u3001LLVM \u30d0\u30c3\u30af\u30a8\u30f3\u30c9\u30fb\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3092\u4f7f\u7528\u3057\u305f\u65b0\u3057\u3044\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u3067\u3059\u3002\u73fe\u6642\u70b9\u3067 ifx \u306f\u3001Fortran 95 \u8a00\u8a9e\u3001OpenMP* 5.0 \u30d0\u30fc\u30b8\u30e7\u30f3 TR4\u3001\u304a\u3088\u3073\u4e00\u90e8\u306e OpenMP* \u30d0\u30fc\u30b8\u30e7\u30f3 5.1 \u306e\u30c7\u30a3\u30ec\u30af\u30c6\u30a3\u30d6\u3068\u30aa\u30d5\u30ed\u30fc\u30c9\u6a5f\u80fd\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002ifx \u306f\u30d0\u30a4\u30ca\u30ea\u30fc (.o\/.obj) \u304a\u3088\u3073\u30e2\u30b8\u30e5\u30fc\u30eb (.mod) \u30d5\u30a1\u30a4\u30eb\u3068\u4e92\u63db\u6027\u304c\u3042\u308a\u307e\u3059\u3002ifort \u3067\u751f\u6210\u3055\u308c\u305f\u30d0\u30a4\u30ca\u30ea\u30fc\u3068\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u306f\u3001ifx \u3067\u30d3\u30eb\u30c9\u3055\u308c\u305f\u30d0\u30a4\u30ca\u30ea\u30fc\u3084\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u3068\u30ea\u30f3\u30af\u3067\u304d\u3001\u4e00\u65b9\u306e\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u3067\u751f\u6210\u3055\u308c\u305f .mod \u30d5\u30a1\u30a4\u30eb\u306f\u3001\u3082\u3046\u4e00\u65b9\u306e\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u3067\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u3069\u3061\u3089\u306e\u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u3082 ifort \u30e9\u30f3\u30bf\u30a4\u30e0\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002ifx \u306f GPU \u30aa\u30d5\u30ed\u30fc\u30c9\u3082\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u304a\u308a\u3001Fortran 2003\u3001Fortran 2018\u3001OpenMP* 5.0 \u304a\u3088\u3073 5.1 (GPU \u30aa\u30d5\u30ed\u30fc\u30c9) \u306a\u3069\u306e\u6700\u65b0\u306e\u6a19\u6e96\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u3002\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u300c<a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/docs\/fortran-compiler\/developer-guide-reference\/2024-0\/conformance-compatibility-and-fortran-features.html\" target=\"_blank\" rel=\"noreferrer noopener\">\u9069\u5408\u6027\u3001\u4e92\u63db\u6027\u3001\u304a\u3088\u3073 Fortran \u6a5f\u80fd<\/a>\u300d (\u82f1\u8a9e) \u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u3001\u57fa\u672c\u8a00\u8a9e\u306e\u9032\u5316\u3001\u30de\u30eb\u30c1\u30d9\u30f3\u30c0\u30fc<\/h3>\n\n\n\n<p>\u57fa\u672c\u8a00\u8a9e\u3068\u3057\u3066\u306e Fortran \u306f\u3001\u6c7a\u3057\u3066\u6642\u4ee3\u9045\u308c\u3067\u306f\u306a\u304f\u3001\u9bae\u3084\u304b\u304b\u3064\u5b9f\u8cea\u7684\u306a\u767a\u5c55\u3092\u9042\u3052\u3066\u3044\u307e\u3059\u3002\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30fb\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3068\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u304c\u82b1\u958b\u304f\u6642\u4ee3\u306b\u76f4\u9762\u3057\u306a\u304c\u3089\u3082\u3001Fortran \u306f\u529b\u5f37\u304f\u751f\u304d\u7d9a\u3051\u3001\u6570\u591a\u304f\u306e\u79d1\u5b66\u6280\u8853\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u4e2d\u3067\u30df\u30c3\u30b7\u30e7\u30f3\u30fb\u30af\u30ea\u30c6\u30a3\u30ab\u30eb\u3067\u3042\u308a\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002OpenMP* \u30e9\u30f3\u30bf\u30a4\u30e0\u30fb\u30e9\u30a4\u30d6\u30e9\u30ea\u30fc\u306e\u5805\u7262\u306a\u5b9f\u88c5\u306f\u3001\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30d0\u30a4\u30b9\u4e0a\u3067\u4e26\u5217\u51e6\u7406\u3068\u540c\u6642\u5b9f\u884c\u6027\u3092\u6d3b\u7528\u3059\u308b\u8a18\u8ff0\u65b9\u6cd5\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u95a2\u9023\u60c5\u5831<\/h3>\n\n\n\n<p>\u30a4\u30f3\u30c6\u30eb\u306b\u3088\u308b Fortran + OpenMP* \u30aa\u30d5\u30ed\u30fc\u30c9\u306e\u5b9f\u88c5\u306b\u3064\u3044\u3066\u306e\u8a73\u7d30\u306f\u3001\u4ee5\u4e0b\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/docs\/fortran-compiler\/developer-guide-reference\/2024-0\/overview.html\" target=\"_blank\" rel=\"noreferrer noopener\">\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u30fb\u30af\u30e9\u30b7\u30c3\u30af\u304a\u3088\u3073\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc\u30fb\u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30ac\u30a4\u30c9\u304a\u3088\u3073\u30ea\u30d5\u30a1\u30ec\u30f3\u30b9<\/a>&nbsp;(\u82f1\u8a9e)<\/strong><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.openmp.org\/wp-content\/uploads\/OpenMP-API-Specification-5-2.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">OpenMP* 5.2 \u4ed5\u69d8<\/a>&nbsp;(\u82f1\u8a9e)<\/strong><\/li>\n<\/ol>\n\n\n\n<p>\u4ee5\u4e0b\u306e\u30da\u30fc\u30b8\u3067\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u00ae Tiber&#x2122; \u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30af\u30e9\u30a6\u30c9 (\u30a4\u30f3\u30c6\u30eb\u306e CPU\u3001GPU\u3001FPGA \u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b\u7121\u6599\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u30a2\u30ab\u30a6\u30f3\u30c8) \u3078\u306e\u30a2\u30af\u30bb\u30b9\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u3001\u65b0\u3057\u3044\u30a4\u30f3\u30c6\u30eb\u00ae Fortran \u30b3\u30f3\u30d1\u30a4\u30e9\u30fc (ifx) \u3068 OpenMP* \u306e GPU \u30aa\u30d5\u30ed\u30fc\u30c9\u3092\u8a66\u3059\u3053\u3068\u304c\u3067\u304d\u308b\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3092\u63d0\u4f9b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/www.xlsoft.com\/jp\/products\/intel\/devcloud\/index.html\" target=\"_blank\" rel=\"noopener\" title=\"\"><strong>https:\/\/www.xlsoft.com\/jp\/products\/intel\/devcloud\/index.html<\/strong><\/a><a href=\"\"><\/a><\/p>\n\n\n\n<p>\u624b\u9806\u306b\u5f93\u3063\u3066\u3001\u6700\u521d\u306e Fortran + OpenMP* \u30aa\u30d5\u30ed\u30fc\u30c9\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u6570\u5206\u3067\u8a66\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<div class=\"mh-excerpt\"><p>\u3053\u306e\u8a18\u4e8b\u306f\u3001\u30a4\u30f3\u30c6\u30eb\u00ae\u00a0\u30c7\u30d9\u30ed\u30c3\u30d1\u30fc\u30fb\u30be\u30fc\u30f3\u306b\u516c\u958b <a class=\"mh-excerpt-more\" href=\"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/2024\/04\/19\/solving-heterogeneous-programming-challenges-with-fortran-and-openmp\/\" title=\"Fortran \u3068 OpenMP* \u3067\u30d8\u30c6\u30ed\u30b8\u30cb\u30a2\u30b9\u30fb\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u8ab2\u984c\u3092\u89e3\u6c7a\">[&#8230;]<\/a><\/p>\n<\/div>","protected":false},"author":1,"featured_media":2938,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2929","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/posts\/2929","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/comments?post=2929"}],"version-history":[{"count":6,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/posts\/2929\/revisions"}],"predecessor-version":[{"id":2937,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/posts\/2929\/revisions\/2937"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/media\/2938"}],"wp:attachment":[{"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/media?parent=2929"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/categories?post=2929"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xlsoft.com\/jp\/blog\/intel\/wp-json\/wp\/v2\/tags?post=2929"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}