{"updated":"2025-01-21T20:34:38.371210+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00078257","sets":["6164:6165:6210:6568"]},"path":["6568"],"owner":"10","recid":"78257","title":["GPUを用いたN-Queens問題の求解"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-11-04"},"_buckets":{"deposit":"41aa3372-eb7c-4c17-8a1f-c9675c3e3370"},"_deposit":{"id":"78257","pid":{"type":"depid","value":"78257","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"GPUを用いたN-Queens問題の求解","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GPUを用いたN-Queens問題の求解"},{"subitem_title":"Solving the N-Queens Problem on a GPU","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2011-11-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪府立大学大学院理学系研究科"},{"subitem_text_value":"大阪府立大学大学院理学系研究科"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"},{"subitem_text_value":"Osaka Prefecture University","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/78257/files/IPSJ-GPWS2011011.pdf"},"date":[{"dateType":"Available","dateValue":"2011-11-04"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GPWS2011011.pdf","filesize":[{"value":"268.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"18"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"30929e40-a491-4be3-af41-b4533fc667a9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2011 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田中, 慶悟"},{"creatorName":"藤本, 典幸"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Keigo, Tanaka","creatorNameLang":"en"},{"creatorName":"Noriyuki, Fujimoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，汎用計算ができるようになったGPU上でCUDAを用いて，Somersの高速なN-Queens問題求解アルゴリズムをさらに高速化する手法を提案する．提案手法はN-Queens問題をSomersのアルゴリズムで計算可能かつ独立な部分問題の集合にCPU上で分割し，生成した部分問題をGPUのVRAM上へと転送し，各スレッドへ動的に割り当て，効率よく並列計算を行う．評価実験を行ったところ，NVIDIA GeForce GTX480と2.93 GHz Intel Core i3 CPUを用いた場合，提案手法はSomersのアルゴリズムと比べN＝19で24.5倍高速であった．また，GPUを用いたFeinbubeらの既存手法に比べ，提案手法は2倍高速であった．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, GPUs have acquired the ability to perform general purpose computation. In this paper, for CUDA GPUs, we propose a method to parallelize Somers' fast sequential algorithm to solve the N-Queens problem. The proposed method partitions a given instance of the N-Queens problem into sub-problems which can be computed in parallel. Then, the sub-problems are sent to VRAM on a GPU so that each sub-problem is dynamically allocated to a thread. Experimental results on an NVIDIA GeForce GTX480 and a 2.93 GHz Intel Core i3 CPU show that the proposed method solves the 19-Queens problem 24.5 times faster than Somers' sequential algorithm and that the proposed method is twice faster than Feinbube et al.'s existing method for CUDA GPUs. ","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"83","bibliographic_titles":[{"bibliographic_title":"ゲームプログラミングワークショップ2011論文集"}],"bibliographicPageStart":"76","bibliographicIssueDates":{"bibliographicIssueDate":"2011-10-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2011"}]},"relation_version_is_last":true,"weko_creator_id":"10"},"created":"2025-01-18T23:33:38.915437+00:00","id":78257,"links":{}}