{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T21:34:52Z","timestamp":1743024892948,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319936970"},{"type":"electronic","value":"9783319936987"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93698-7_46","type":"book-chapter","created":{"date-parts":[[2018,6,11]],"date-time":"2018-06-11T19:30:25Z","timestamp":1528745425000},"page":"601-613","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Design of Parallel BEM Analyses Framework for SIMD Processors"],"prefix":"10.1007","author":[{"given":"Tetsuya","family":"Hoshino","sequence":"first","affiliation":[]},{"given":"Akihiro","family":"Ida","sequence":"additional","affiliation":[]},{"given":"Toshihiro","family":"Hanawa","sequence":"additional","affiliation":[]},{"given":"Kengo","family":"Nakajima","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,6,12]]},"reference":[{"issue":"2","key":"46_CR1","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s006070050015","volume":"62","author":"W Hackbusch","year":"1999","unstructured":"Hackbusch, W.: A sparse matrix arithmetic based on H-matrices. Part I: introduction to H-matrices. Computing 62(2), 89\u2013108 (1999)","journal-title":"Computing"},{"issue":"1","key":"46_CR2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/PL00021408","volume":"64","author":"W Hackbusch","year":"2000","unstructured":"Hackbusch, W., Khoromskij, B.N.: A sparse H-matrix arithmetic. Part II: application to multi-dimensional problems. Computing 64(1), 21\u201347 (2000)","journal-title":"Computing"},{"key":"46_CR3","unstructured":"B\u00f6rm, S., Grasedyck, L., Hackbusch, W.: Hierarchical matrices. Technical report, Max Planck Institute for Mathematics in the Sciences (2003)"},{"issue":"4","key":"46_CR4","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s00791-008-0095-z","volume":"11","author":"S B\u00f6rm","year":"2008","unstructured":"B\u00f6rm, S., Bendoraityte, J.: Distributed $$h^2$$-matrices for non-local operators. Comput. Vis. Sci. 11(4), 237\u2013249 (2008)","journal-title":"Comput. Vis. Sci."},{"issue":"3","key":"46_CR5","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.cpc.2012.09.011","volume":"184","author":"R Yokota","year":"2013","unstructured":"Yokota, R., Barba, L.A., Narumi, T., Yasuoka, K.: Petascale turbulence simulation using a highly parallel fast multipole method on GPUs. Comput. Phys. Commun. 184(3), 445\u2013455 (2013)","journal-title":"Comput. Phys. Commun."},{"key":"46_CR6","unstructured":"ppOpen-HPC: Open Source Infrastructure for Development and Execution of Large-Scale Scientific Applications on Post-Peta-Scale Supercomputers with Automatic Tuning (AT). http:\/\/ppopenhpc.cc.u-tokyo.ac.jp\/ppopenhpc\/"},{"issue":"4","key":"46_CR7","first-page":"642","volume":"22","author":"A Ida","year":"2014","unstructured":"Ida, A., Iwashita, T., Mifune, T., Takahashi, Y.: Parallel hierarchical matrices with adaptive cross approximation on symmetric multiprocessing clusters. J. Inf. Process. 22(4), 642\u2013650 (2014)","journal-title":"J. Inf. Process."},{"key":"46_CR8","doi-asserted-by":"publisher","first-page":"2200","DOI":"10.1016\/j.procs.2017.05.263","volume":"108","author":"T Iwashita","year":"2017","unstructured":"Iwashita, T., Ida, A., Mifune, T., Takahashi, Y.: Software framework for parallel BEM analyses with H-matrices using MPI and OpenMP. Procedia Comput. Sci. 108, 2200\u20132209 (2017)","journal-title":"Procedia Comput. Sci."},{"issue":"2","key":"46_CR9","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1109\/20.996112","volume":"38","author":"S Kurz","year":"2002","unstructured":"Kurz, S., Rain, O., Rjasanow, S.: The adaptive cross-approximation technique for the 3D boundary-element method. IEEE Trans. Magn. 38(2), 421\u2013424 (2002)","journal-title":"IEEE Trans. Magn."},{"key":"46_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1007\/3-540-44863-2_75","volume-title":"Computational Science \u2014 ICCS 2003","author":"H Okuda","year":"2003","unstructured":"Okuda, H., Nakajima, K., Iizuka, M., Chen, L., Nakamura, H.: Parallel finite element analysis platform for the earth simulator: GeoFEM. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J.J., Zomaya, A.Y. (eds.) ICCS 2003. LNCS, vol. 2659, pp. 773\u2013780. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-44863-2_75"},{"issue":"3\u20134","key":"46_CR11","first-page":"251","volume":"20","author":"F Hecht","year":"2012","unstructured":"Hecht, F.: New development in freefem++. J. Numer. Math. 20(3\u20134), 251\u2013265 (2012)","journal-title":"J. Numer. Math."},{"key":"46_CR12","doi-asserted-by":"publisher","first-page":"1456","DOI":"10.1016\/j.procs.2011.04.158","volume":"4","author":"M Ohtani","year":"2011","unstructured":"Ohtani, M., Hirahara, K., Takahashi, Y., Hori, T., Hyodo, M., Nakashima, H., Iwashita, T.: Fast computation of quasi-dynamic earthquake cycle simulation with hierarchical matrices. Procedia Comput. Sci. 4, 1456\u20131465 (2011)","journal-title":"Procedia Comput. Sci."}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93698-7_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T00:08:36Z","timestamp":1654906116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-93698-7_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319936970","9783319936987"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93698-7_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"12 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuxi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"406","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"148","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"60","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Acceptance rate in the Main Track is 28%. Acceptance rate in the workshops is 43%.  A high acceptance rate in the workshops is explained by the nature of these thematic sessions, where many experts in a particular field are personally invited by workshop organisers to participate in their sessions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}